# NETINT > Generated by All in One SEO Pro v5.0.3, this is an llms.txt file, used by LLMs to index the site. ## Sitemaps - [XML Sitemap](https://netint.com/sitemap.xml): Contains all public & indexable URLs for this website. ## Posts - [Encoding Efficiency Is Becoming an Infrastructure Decision](https://netint.com/research/blog/encoding-efficiency-is-an-infrastructure-decision/): Learn why encoding efficiency now depends on infrastructure architecture, workload placement, and purpose-built video processing hardware - [Scalable Video Processing for Modern Security Systems](https://netint.com/research/blog/scalable-video-processing-for-modern-security-systems/): Why modern security systems bottleneck after capture as camera counts and AI analytics grow, and how scalable video processing protects storage and GPUs. - [Dense is good when it comes to transcoding](https://netint.com/research/blog/dense_is_good_when_transcoding/): Why stream density matters for high-volume video, and how NETINT T408, T432, and Quadra ASIC cards raise channels per server in U.2 and PCIe form factors. - [How to Slash CAPEX, OPEX, and Carbon Emissions with T408 Video Transcoder](https://netint.com/research/blog/how-to-slash-capex-opex-and-carbon-emissions-w-t408-video-transcoder/): A deeper look at cutting CAPEX, OPEX, and carbon with the NETINT T408 video transcoder versus CPU codecs for live and interactive streaming workloads. - [Europe's Hidden Energy Crisis: Data Centers](https://netint.com/research/blog/hidden_energy_crisis-european_data_centers/): European data centers face pressure to cut power. How ASIC-based transcoders slash kWh for live video and can pay back through lower electricity bills alone. - [NETINT Quadra vs. NVIDIA T4 - Benchmarking Hardware Encoding Performance](https://netint.com/research/blog/benchmarking-hardware_encoding-performance/): Benchmarking NETINT Quadra against NVIDIA T4 across quality and throughput setups, with cost per stream and power results for hardware encoding decisions. - [Computing Payback Period on T408s](https://netint.com/research/blog/computing-payback-period-on-t408s/): How to compute payback when replacing software live transcoding with NETINT T408 ASICs, using NETINT calculators under rising data center power costs. - [Maximizing Cloud Gaming Performance with ASICs](https://netint.com/research/blog/maximizing-cloud-gaming-performance-with-asics/): How ASIC encoders help cloud gaming platforms chase lower latency, higher quality, denser streams, and lower power without treating latency as a single number. - [Cloud or on-premise - streaming publisher's dilemma](https://netint.com/research/blog/cloud-or-on-premise-streaming-publishers-dilemma/): Cloud versus on-premise for streaming publishers: what recent industry debates get right, and why running the math on your own workload still matters most. - [All You Need to Know About the NETINT Product Line](https://netint.com/research/blog/all-you-need-to-know-about-netint-product-line/): A guide to the NETINT product line across Codensity ASIC generations, covering hardware differences and the shared software architecture behind each card. - [NETINT Video Transcoding Server - ASIC technology at its best](https://netint.com/research/blog/netint-video-transcoding-server-asic-technology-at-its-best/): How a NETINT video transcoding server brings ASIC efficiency into existing workflows when software-only stacks buckle under energy cost and weak scale. - [Video Transcoder vs. Video Processing Unit (VPU)](https://netint.com/research/blog/video-transcoder-versus-video-processing-unit-aka-vpu/): Transcoder, VPU, VCU, or SVP: a short plain-language guide to live stream processing product names so you know what to search for and compare. - [Parking Lot Rules, B-Frames, and Ultra Low-Latency Encoding](https://netint.com/research/blog/b-frames-ultra-low-latency-encoding-and-parking-lot-rules/): How B-frames interact with ultra low-latency encoding goals, using a simple parking-lot analogy to explain ordering constraints that shape live encode choices. - [Unveiling the Quadra Server: The Epitome of Power and Scalability](https://netint.com/research/blog/unveiling-the-quadra-server-the-epitome-of-power-and-scalability/): How the Quadra server helps streaming engineers raise stream count while cutting cost and power, with ASIC efficiency that still fits existing workflows. - [How LCEVC Works](https://netint.com/research/blog/mpeg5-lcevc-video-efficiency/): Learn how MPEG-5 LCEVC and VPUs improve video efficiency by reducing bitrate, accelerating encoding, and lowering streaming infrastructure costs. - [Pairing VPUs with MPEG-5 LCEVC Delivers The Next Layer of Video Efficiency ](https://netint.com/research/blog/next-layer-video-efficiency/): Learn how MPEG-5 LCEVC and VPUs improve video efficiency by reducing bitrate, accelerating encoding, and lowering streaming infrastructure costs. - [Transforming Live Streaming TV, One Rack at a Time](https://netint.com/research/blog/zapping-live-streaming-netint-vpus/): Discover how Zapping scaled Live Streaming with NETINT VPUs, cutting server count, reducing power consumption, and improving low-latency OTT delivery. - [Choosing Transcoding Hardware: Deciphering the Superiority of ASIC-based Technology](https://netint.com/research/blog/choosing-transcoding-hardware/): CPU, GPU, or ASIC for transcoding hardware: symposium analysis favoring ASIC approaches like Quadra on viewer experience, power efficiency, and cost. - [Beyond Traditional Transcoding: NETINT’s Pioneering Technology for Today’s Streaming Needs](https://netint.com/research/blog/beyond-traditional-transcoding/): What is new in NETINT ASIC transcoding beyond traditional approaches, covering Quadra VPUs, T408 devices, and dense servers for today's streaming needs. - [Slash UGC Transcoding Costs with ASICs](https://netint.com/research/blog/slash-ugc-transcoding-costs-with-asics/): How NETINT Quadra can cut CAPEX and OPEX for high-volume UGC H.264 encoding while matching or beating x264 quality for large VOD-scale workloads. - [From Concept to Production: A Field-Proven Methodology for Deploying NETINT Quadra VPUs](https://netint.com/research/blog/netint-quadra-vpu-deployment/): Learn a proven NETINT Quadra VPU Deployment methodology to migrate from CPU and GPU transcoding with scalable, efficient video infrastructure. - [Cut Costs, Not Quality: Encoding UGC Social Video with Quadra](https://netint.com/research/blog/cut-costs-not-quality-encoding-ugc-social-video-with-quadra/): How Quadra cuts cost without quality loss for UGC social video, VOD or live, when platforms must ladder smartphone uploads across many resolutions. - [Boosting Video Streaming: Efficient Transcoding for Better Performance & Cost](https://netint.com/research/blog/efficient-transcoding-for-better-performance-cost/): api.video's pivot from CPU to ASIC VPU transcoding with NETINT G4 and G5 chips, cutting encode cost while improving power efficiency at scale. - [Optimizing NVIDIA L4 AI Processing with Quadra Video Decoding](https://netint.com/research/blog/optimizing-nvidia-l4-ai-processing-with-quadra-video-decoding/): Why pairing Quadra video decoding with NVIDIA L4 AI GPUs can beat using the L4 alone for both decode and inference in video AI workstations. - [Maximizing Encoding Efficiency in Live Streaming Workflows](https://netint.com/research/blog/live-streaming-encoding-efficiency/): Improve Live Streaming Encoding Efficiency with Wowza Streaming Engine and NETINT VPUs for scalable transcoding, ABR ladders, and lower infrastructure costs. - [Reliable Live Video Meets Efficient Processing](https://netint.com/research/blog/reliable-live-video-processing/): Build Reliable Live Video workflows with Zixi Broadcaster, ZEN Master, and NETINT VPUs for scalable live transcoding and efficient processing. - [Beyond General-Purpose Compute](https://netint.com/research/blog/beyond-general-purpose-compute/): Move beyond General-Purpose Compute with Advantech and NETINT. Learn how CPUs, GPUs, and VPUs improve immersive video and high-density streaming. - [How to Specify a VPU: The 2026 Buyer’s Guide for Video Infrastructure Leaders](https://netint.com/research/blog/netint-vpu-buyers-guide-2026/): Download the 2026 VPU Buyer's Guide to compare video processing units, AV1 hardware encoders, and video transcoding hardware. - [VPU Capacity Without a Hardware Cycle](https://netint.com/research/blog/vpu-capacity-without-hardware-cycle/): Deploy VPU Capacity with NetActuate and NETINT Quadra to test hosted video encoding, accelerate deployment, and scale without new hardware. - [Build Dedicated VPU-Based Video Infrastructure](https://netint.com/research/blog/build-dedicated-vpu-based-video-infrastructure/): Build Dedicated VPU Video Infrastructure with Quadra VPUs, validated systems, and Bitstreams to create scalable video processing platforms. - [Get More From the Servers You Already Own](https://netint.com/research/blog/get-more-from-existing-servers/): Learn how to get more from the servers you already own by adding VPU acceleration to increase encoding capacity and video processing efficiency. - [VPU-Powered Capacity as a Service](https://netint.com/research/blog/vpu-powered-capacity-as-a-service/): Learn how VPU Capacity as a Service delivers encoding capacity faster through hosted infrastructure, reducing deployment time and operational burden. - [Three Ways to Add Video Capacity in a Constrained Market](https://netint.com/research/blog/three-ways-to-add-video-capacity/): Learn three practical ways to add video capacity by using hosted VPUs, upgrading existing infrastructure, or deploying dedicated VPU systems. - [The New Video Capacity Problem](https://netint.com/research/blog/the-new-video-capacity-problem/): Learn why video capacity is now an architecture challenge and how streaming infrastructure with VPUs helps overcome power, density, and growth limits. - [Affordable New NETINT Quadra Video Server with Ampere 96-core ARM CPU](https://netint.com/research/blog/affordable-new-netint-quadra-video-server-with-ampere-96-core-arm-cpu/): The Ampere edition of the NETINT Quadra Video Server pairs a 96-core Arm CPU with VPUs to run 300+ live channels with de-interlacing and decoding. - [Stop Asking Which Encoder. Start Asking Which Silicon.](https://netint.com/research/blog/which-encoder-or-which-silicon/): Encoder comparisons only matter once the workload is matched to the right compute. Why the silicon you run on drives real video encoding efficiency. - [Encoding Efficiency, Power, and Resilience in Streaming Infrastructure](https://netint.com/research/blog/encoding-efficiency-power-streaming-infrastructure/): Learn how carrier-grade live streaming combines VPU acceleration, video orchestration, and a control plane to improve reliability and scalability. - [From VPU Acceleration to Carrier-Grade Live Workflows](https://netint.com/research/blog/from-vpu-acceleration-to-carrier-grade-live-workflows/): Learn how carrier-grade live streaming combines VPU acceleration, video orchestration, and a control plane to improve reliability and scalability. - [From libx265 to h265_ni_quadra_enc: A Practical FFmpeg Walkthrough](https://netint.com/research/blog/ffmpeg-libx265-to-h265-ni-quadra-enc/): Learn how to build an efficient FFmpeg hardware encoding pipeline with h265_ni_quadra_enc while reducing frame transfers and improving performance. - [Scaling Performance-Critical Video Workloads](https://netint.com/research/blog/performance-critical-video-workloads/): Optimize Performance-Critical Video Workloads with NETINT Quadra and i3D.net. Scale low-latency video, cloud gaming, and video processing efficiently. - [VPU Migration Without Rebuilding Your Video Pipeline ](https://netint.com/research/blog/vpu-migration-video-pipeline/): A practical seven-step approach to migrating video encoding onto NETINT VPUs, proving performance and cutting risk while keeping your production pipeline. - [How Video Encoding Actually Runs: CPU vs Dedicated Hardware ](https://netint.com/research/blog/cpu-vs-dedicated-video-hardware/): How video encoding actually runs when you compare CPU pipelines to dedicated hardware across frame stages, transfers, and resource contention in real systems. - [Ultra-Low Latency Cloud Video Applications](https://netint.com/research/blog/ultra-low-latency-cloud-video-applications/): Emerging video services require encoding technology that can scale economically to any number of users. - [VPU-as-a-Service is a New Operating Model for Cloud Video Processing](https://netint.com/research/blog/vpu-as-a-service-video/): VPU-as-a-Service delivers purpose-built video acceleration through a cloud model, cutting transcoding cost and power beyond CPU or GPU instances. - [Scaling AV1 Video Encoding: Why Quadra VPUs Replace CPU Infrastructure](https://netint.com/research/blog/scaling-av1-video-encoding/): Scaling AV1 video encoding with hardware video encoding and VPU transcoding reduces power, rack density, and operational cost at infrastructure scale. - [The C-Band Transition Is Finished. The Video Infrastructure Work Is Not.](https://netint.com/research/blog/c-band-ip-video-distribution/): The C-Band transition is done, but the IP video work is not. How spectrum policy became an infrastructure problem solved at the edge with VPUs. - [Video Encoding in the Cloud on Arm](https://netint.com/research/blog/canonical-ampere-and-netint-video-encoding-in-the-cloud-on-arm/): How Canonical, Ampere, and NETINT combine Arm cloud servers with ASIC encoding for dense mobile cloud gaming and real-time video on virtualized Android. - [The Evolution of Video Codecs: AV1 and HEVC Take the Lead](https://netint.com/research/blog/the-evolution-of-video-codecs-av1-and-hevc-take-the-lead/): Why AV1 and HEVC are taking the lead as H.264 distribution costs rise, including the trade-offs that still shape real-world codec rollout decisions. - [Simplify Building Your Own Streaming Cloud with NORSK SDK](https://netint.com/research/blog/simplify-building-your-own-streaming-cloud-with-norsk-sdk/): How the NORSK SDK from id3as simplifies large-scale media workflows for teams building their own streaming cloud with major live platform DNA. - [Turbocharge Your Cloud: Quadra's Virtualization Secrets](https://netint.com/research/blog/turbocharge-your-cloud-quadras-virtualization-secrets/): Virtualization and QoS features on Quadra VPUs for shared cloud deployments, with pointers to resources for creating and operating multi-tenant encode capacity. - [Is power consumption your company's priority?](https://netint.com/research/blog/is-power-consumption-your-companys-priority/): How NETINT engineers measure power draw, which components dominate the bill, and practical ways video-centric data centers can cut consumption at scale. - [When Standards Become Strategy](https://netint.com/research/blog/mpeg-5-lcevc-compression/): MPEG-5 LCEVC enhances existing codecs instead of replacing them. How V-Nova's approach rewrites the economics of video quality and compression. - [When Milliseconds Define the Experience](https://netint.com/research/blog/ultra-low-latency-8k-video/): How TMPS and Misao Network used NETINT VPUs to deliver ultra-low-latency 8K video over WebRTC, proving real-time 8K streaming is achievable today. - [The Encoding Industry Just Changed its Mind About Everything](https://netint.com/research/blog/video-encoding-trends-2026/): The 2026 State of Video Encoding Report surveys 286 professionals on the codec, hardware, and cost decisions reshaping streaming infrastructure. - [Building a Category in Plain Sight: A Decade Inside the Rise of the Video Processing Unit](https://netint.com/research/blog/video-processing-unit-category/): A decade inside the making of the VPU category, from Emmy recognition to the video processing unit now reshaping streaming infrastructure economics. - [Before AI can see: the decode bottleneck in modern surveillance](https://netint.com/research/blog/decode-bottleneck-ai-surveillance/): AI video analytics stall on decode, not the model. Why turning compressed surveillance video back into frames is the real constraint, and the fix. - [Recommission Old Servers: Your video encoding capacity is in your warehouse](https://netint.com/research/blog/recommission-old-video-servers/): Expanding video encoding capacity may not require new servers. Adding VPUs to existing hardware unlocks density in a constrained supply market. - [Interactive Applications Powered by Video](https://netint.com/research/blog/interactive-applications-powered-by-video-at-the-cloud-edge/): How ASIC-based encoders deliver the TCO cloud gaming, RTC, and interactive video need at the edge, including architectures and service economics. - [Eco-Friendly Video Encoding Servers](https://netint.com/research/blog/eco-friendly_video_encoding_servers/): Supermicro and NETINT eco-friendly encoding servers for data centers that must hit quality targets while cutting power and carbon from high-volume transcoding. - [Slash CAPEX, OPEX, and Carbon Emissions with T408](https://netint.com/research/blog/slash_capex_opex_carbon_emissions/): How the NETINT T408 ASIC transcoder cuts CAPEX, OPEX, and carbon versus CPU codecs for live events, interactive video, cloud gaming, and real-time streams. - [Transforming the viewing experience with Quadra](https://netint.com/research/blog/quadra-transforming_the_viewing_experience/): NETINT, RealSprint, and Oracle deliver AV1 4K 10-bit HDR live streaming at sub-second glass-to-glass latency, with Quadra VPUs encoding the AV1 ABR ladder. - [Artificial Intelligence for video encoding](https://netint.com/research/blog/artificial-intelligence-for-video-encoding/): How AI is reshaping video encoding, from smarter quality decisions to new apps, and where NETINT focuses AI-assisted processing in ASIC video pipelines. - [Choosing an encoder](https://netint.com/research/blog/choosing_an_encoder/): A practical guide to choosing a live encoder: CPU software, GPU, and ASIC options, with trade-offs matched to contribution, OTT, and cloud gaming uses. - [ASIC-Based 8K Encoding can Save Power and Money](https://netint.com/research/blog/asic-based-8k-encoding-saves-power-and-money/): Two paths to an 8K60 contribution stream compared: why ASIC-based 8K encoding can cut power and cost versus software-heavy approaches for live UHD. - [Ultra-low-power, high-density video encoding solutions for Data Centers](https://netint.com/research/blog/low-power-high-density-encoding-for-data-centers/): StreamVX and NETINT partner on ultra-low-power, high-density encoding for data centers that must expand capacity while cutting energy under tighter limits. - [Evaluating Hardware Transcoder Performance](https://netint.com/research/blog/evaluating-hardware-transcoders-performance/): How to evaluate hardware transcoder performance beyond peak specs: quality versus throughput trade-offs, presets, and the operating point for your workload. - [Meta AV1 Delivery Presentation: Six Key Takeaways](https://netint.com/research/blog/meta-av1-delivery-presentation-six-key-takeaways/): Six takeaways from Meta's Video @Scale talk on end-to-end AV1 delivery, distilled for engineers running large-scale video systems and planning AV1 rollouts. - [Introduction to AI Processing on Quadra](https://netint.com/research/blog/introduction-to-ai-processing-on-quadra/): How Quadra VPUs combine onboard NPUs with decode, scale, and encode for AI video tasks like enhancement, detection, and OCR with less host CPU load. - [2022-Opportunities and Challenges for the Streaming Video Industry](https://netint.com/research/blog/opportunities-and-challenges-for-the-streaming-video-industry/): Opportunities and challenges facing the streaming video industry, from new platforms and interactive formats to infrastructure pressure for sustainable scale. - [Insights from the Bitmovin Video Developer Report](https://netint.com/research/blog/bitmovin-video-developer-report-insights/): Key takeaways from the Bitmovin Video Developer Report for streaming teams, with focus on codec usage trends and what they mean for encoding planning. - [How Scaling Method and Technique Impacts Quality and Throughput](https://netint.com/research/blog/scaling-method-and-technique-impact-on-quality-and-throughput/): Four FFmpeg scaling approaches compared: how scaling method and technique change quality and throughput, and why the default -s scale can leave quality behind. - [Argos dispels common myths about encoding ASICs](https://netint.com/research/blog/argos-dispels-common-myths-about-encoding-asics/): How Google's Argos VCU challenges outdated myths about encoding ASICs, from quality and flexibility to why software-only stacks still dominate too often. - [ASIC vs. CPU-Based Transcoding: A Comparison of Capital and Operating Expenses](https://netint.com/research/blog/asic-versus-cpu-transcoding-a-comparison-of-capital-and-operating-expenses/): CAPEX and OPEX compared for ASIC versus CPU-based live transcoding, with Jet-Stream Deep Edge density as a concrete reference for high-volume OTT stacks. - [The Components That Make Cloud Gaming Production Affordable (or Not)](https://netint.com/research/blog/affordable-mix-of-cpus-gpus-and-asics/): The hardware mix that makes cloud gaming production affordable or not: how CPU, GPU, and ASIC costs per stream shape narrow-margin platform economics. - [ASICs - The Time is Now](https://netint.com/research/blog/encoding-asics-the-time-is-now/): A short history of encoding ASICs and why they are now the practical choice for high-volume streaming and cloud gaming versus vaporware announcements. - [Which AWS CPU is Best for FFmpeg - AMD, Graviton, or Intel?](https://netint.com/research/blog/amd-graviton-intel-best-aws-cpu-for-ffmpeg/): AMD, Graviton, or Intel for FFmpeg on AWS: benchmark takeaways showing Graviton leading for x264 and AMD for x265, with context for how we tested. - [Build Your Own Streaming Infrastructure - Software](https://netint.com/research/blog/build-your-own-streaming-infrastructure-software/): Software choices for building your own streaming infrastructure when leaving cloud transcoding, covering what you need beyond buying ASIC hardware alone. - [From Cloud to Local Transcoding For Minimum Latency and Maximum Quality](https://netint.com/research/blog/minimum-latency-and-maximum-quality-from-cloud-to-local-transcoding/): Why some live events should rethink venue-to-cloud contribution and move toward local transcoding when minimum latency and maximum quality both matter. - [AV1 Capped CRF Encoding with Quadra VPU](https://netint.com/research/blog/av1-capped-crf-encoding-with-quadra-vpu/): AV1 capped CRF results on Quadra VPUs for 1080p and 4K, showing higher hard-scene quality than CBR with similar easy-scene efficiency gains. - [Understanding the Economics of Transcoding](https://netint.com/research/blog/economics-of-transcoding/): Why transcoding economics decide FAST and subscription success: quality on one side, relentless cost reduction on the other, for production-heavy video. - [Zapping: Low-Latency Premium Streaming Across Latin America](https://netint.com/research/blog/zapping-low-latency-cdn-technology-revolution-across-latin-america/): How Zapping built low-latency CDN and encode technology for Latin America using NETINT streaming video servers to accelerate premium live expansion. - [What Netflix is Doing in Cloud Gaming and Why You Should Care](https://netint.com/research/blog/what-netflix-is-doing-in-cloud-gaming-and-why-you-should-care/): Why Netflix's cloud gaming beta matters for premium streamers, framing interactive games as a complementary category that raises encoding density pressure. - [Why Encoder Compute Efficiency is Being Measured by Everyone](https://netint.com/research/blog/why-encoder-compute-efficiency-is-being-measured-by-everyone/): Why every streaming ops team is measuring encoder compute efficiency as transcoding cost and quality decide outcomes for FAST and subscription models. - [VPUs and High Density Video Decoding](https://netint.com/research/blog/vpus-and-high-density-video-decoding/): CPU, GPU, and Quadra VPU approaches compared for high-density video decoding in security, surveillance, and analytics workloads that outgrow software alone. - [The Gen AI Revolution in CTV Advertising: : How to Transform Campaign Creation, Delivery, and Efficiency](https://netint.com/research/blog/the-gen-ai-revolution-in-ctv-advertising/): How generative AI is reshaping CTV advertising creatives, targeting, and delivery efficiency as connected TV spend and household reach keep climbing. - [Quadra Mini Server: Empowering Next-gen Streaming](https://netint.com/research/blog/quadra-mini-server-empowering-the-next-generation-of-video-streaming-workflows/): How the Quadra Mini Server packs AV1, H.264, and HEVC density into a half-rack footprint for engineers who need performance in limited space. - [Revolutionizing Broadcast Workflows: Cloud-Based Video Transport & Transcoding with Net Insight](https://netint.com/research/blog/cloud-transport-and-transcoding/): 2022 for the video industry has seen the emergence of many new opportunities with the launch of new innovative video streaming services and platforms. - [Deep Dive - Revolutionizing Video Streaming with VPU Efficiency & Cost](https://netint.com/research/blog/revolutionizing-video-streaming-with-vpus/): Why Video Processing Units are reshaping streaming efficiency and cost as CPU, GPU, and classic ASIC trade-offs stop covering ultra-dense encode demand alone. - [From Cost per Stream to Watts per Stream: The Hidden Economics of Video Infrastructure](https://netint.com/research/blog/watts-per-stream-infrastructure-costs/): Why energy efficiency is becoming a financial decision for video infrastructure in Europe, shifting focus from servers alone to watts per stream reality. - [The New Economics of Video Infrastructure](https://netint.com/research/blog/video-infrastructure-economics/): Why efficiency, not flexibility alone, is becoming the primary design constraint for modern video infrastructure as capability stops being the hard problem. - [From Silicon to Rack: Why Deployable Video Infrastructure Demands a New Design Philosophy](https://netint.com/research/blog/deployable-video-infrastructure/): Why efficient silicon is not enough: deployable video infrastructure needs a rack-aware design philosophy that works at real data center scale. - [The Control Plane Imperative: Operating Video at Scale](https://netint.com/research/blog/video-control-plane/): Why coordination via a video control plane, not raw encode speed, decides whether large streaming infrastructure scales with operational confidence. - [Measuring What Matters](https://netint.com/research/blog/video-benchmarking-vpu-infrastructure/): How Cires21 turns video benchmarking into a discipline worth trusting when bitrate and VMAF numbers alone hide the complexity of real encode systems. - [World’s First AV1 Encoder for the Data Center](https://netint.com/research/blog/the-worlds-first-av1-encoder-for-the-data-center/): ASIC-based AV1 transcoders designed for data centers, packing up to 100 live 4Kp60 AV1 streams on a standard x86 or Arm server in U.2 and AIC form factors. - [NETINT Joins the Alliance for Open Media](https://netint.com/research/blog/netint-technologies-joins-the-alliance-for-open-media/): NETINT joined AOMedia at Promoter level to advance open media compression standards and promote hardware encoding for low-latency delivery on the web. - [How ASICs Can Save The Planet](https://netint.com/research/blog/streaming-video-how-asics-can-save-the-planet/): Why ASIC-based video encoding helps streaming platforms cut power and carbon versus CPU codecs, linking sustainability goals to denser live transcoding. - [High-Density Video Encoding in the Cloud](https://netint.com/research/blog/high-density-video-encoding-in-the-cloud/): How cloud platforms deliver interactive video at scale with high-density encoding, and why software-only transcoding raises power, cost, and carbon impact. - [Argos for the Rest of Us - With AV1](https://netint.com/research/blog/quadra_vpu-equivalent_of_argos/): Google's Argos VCU proved ASIC encoding efficiency at YouTube scale. How NETINT Quadra brings similar density and AV1 to operators beyond hyperscale stacks. - [Vindral CDN Against Dinosaurs' Agreement](https://netint.com/research/blog/vindrals-cdn-against-dinosaurs-agreement/): Conversation with RealSprint on Vindral CDN, low-latency delivery economics, and why efficient encoding matters for sustainable ultra-low-latency streaming. - [How NETINT enables ASIC upgradeability with Software](https://netint.com/research/blog/how-netint-enables-asic-upgradeability-with-software/): How Codensity ASIC firmware upgrades add features and coding gains after ship, easing fixed-function limits while keeping efficient encoding hardware current. - [Mobile cloud gaming and technology suppliers](https://netint.com/research/blog/mobile-cloud-gaming-and-technology-suppliers/): Why mobile cloud gaming is a strong fit for ASIC-based transcoding, and how NETINT encoding density supports growing cloud game delivery economics. - [Reducing Power Consumption in Data Centers: A Response to the European Energy Crisis](https://netint.com/research/blog/reducing-power-consumption-in-data-centers/): Why encoding refreshes may become CFO-driven for European data centers, and how lower-power ASIC transcoding responds when electricity cost dominates OPEX. - [Region of Interest Encoding for Cloud Gaming: A Survey of Approaches](https://netint.com/research/blog/region-of-interest-encoding-for-cloud-gaming/): A survey of region of interest encoding for cloud gaming, showing how ROI techniques can protect quality while cutting bandwidth on live game streams. - [Cloud Gaming Economic Factors and Technical Considerations](https://netint.com/research/blog/cloud-gaming-economic-factors-and-technical-considerations/): Economic and technical factors behind cloud gaming growth, from device reach and subscriptions to infrastructure choices that keep stream cost under control. - [ASICs, A Preferred Technology for High Volume Transcoding](https://netint.com/research/blog/asics-as-the-preferred-technology-for-high-volume-transcoding/): Why ASICs are becoming preferred for high-volume transcoding, drawn from Streaming Video Alliance talk themes on codec shifts and hyperscaler custom silicon. - [Hardware Transcoding: What it Is, How it Works, and Why You Care](https://netint.com/research/blog/hardware-transcoding-hardware-encoding/): What hardware transcoding means in live streaming practice, how it differs from file conversion jargon, and why density and power make it matter now. - [World’s First AV1 Live Streaming CDN powered by VPUs](https://netint.com/research/blog/worlds-first-av1-live-streaming-cdn/): How RealSprint's Vindral CDN used NETINT Quadra VPUs for AV1 live streaming after CPU scale limits and GPU power and complexity blocked the target latency. - [Unlocking the Potential of Cloud Gaming with VPUs](https://netint.com/research/blog/game-changing-architectures-unlocking-the-potential-of-cloud-gaming/): Blacknut CEO Olivier Avaro on cloud gaming maturity, catalog distribution, and cost-effective architectures where VPUs help unlock mass-market stream economics. - [Revolutionizing Online Media Distribution and Delivery](https://netint.com/research/blog/advancements-in-streaming-technologies/): How streaming technologies reshaped media distribution, with lessons from Alex Zambelli's Microsoft work including NBC Sports online delivery milestones. - [Key Cloud Gaming Concepts with Blacknut's Olivier Avaro](https://netint.com/research/blog/cloud-gaming-primer-concepts-from-blacknuts-olivier-avaro/): A primer of key cloud gaming concepts from Blacknut CEO Olivier Avaro, summarizing interview themes for teams new to subscription cloud game delivery. - [What Can a VPU Do for You?](https://netint.com/research/blog/what-can-a-vpu-do-for-you/): How a VPU can run about 200 simultaneous 720p30 cloud game sessions from one 2RU server and cut cost per concurrent user versus GPU encoding. - [Co-location for Optimized, Sustainable Live Streaming Success](https://netint.com/research/blog/choosing-a-co-location-facility/): How to choose a co-location facility when you own transcoding servers instead of public cloud, balancing connectivity, power, and sustainable live ops. - [From Cloud to Control. Building Your Own Live Streaming Platform](https://netint.com/research/blog/from-cloud-to-control-building-your-own-live-streaming-platform/): When cloud live streaming OPEX gets too high, how to move toward your own platform using lessons from NETINT's build-your-own streaming symposium. - [Get Free CAE on NETINT VPUs with Capped CRF](https://netint.com/research/blog/get-free-cae-on-netint-vpus-with-capped-crf/): How capped CRF on NETINT VPUs acts as lightweight content-adaptive encoding, cutting bitrate on easy titles while protecting quality under a rate cap. - [Seamless Client Onboarding - Hardware and Software Synergy – interview with Kenneth Robinson](https://netint.com/research/blog/seamless-client-onboarding-hardware-and-software-synergy/): How NETINT onboarding pairs U.2 and PCIe hardware install with FFmpeg, GStreamer, and SDK software paths for a smoother pre- and post-purchase journey. - [From CPU to GPU to ASIC: Mayflower's Transcoding Journey](https://netint.com/research/blog/from-cpu-to-gpu-to-asic-mayflowers-transcoding-journey/): Mayflower's path from CPU to GPU to ASIC transcoding, cutting CAPEX from about $10M toward $1.5M while reducing power consumption by over 90%. - [Simplify Building Your Own Streaming Cloud with Wowza](https://netint.com/research/blog/simplify-building-your-own-streaming-cloud-with-wowza/): How Wowza Streaming Engine supports scalable live packaging and transcoding when you build your own streaming cloud instead of renting every encode. - [Simplify Building Your Own Streaming Cloud with GPAC](https://netint.com/research/blog/simplify-building-your-own-streaming-cloud-with-gpac/): How open-source GPAC addresses features, cost, and flexibility for teams building their own streaming cloud, as outlined by Motion Spell's Romain Bouqueau. - [Evaluating Low-Latency Video Streaming Protocols, Technologies and Best Practices](https://netint.com/research/blog/low-latency-video-streaming-protocols/): Three schemas for low-latency video streaming compared, with pros, cons, and the questions engineers should ask before choosing a protocol or vendor. - [Save Bandwidth with Capped CRF](https://netint.com/research/blog/save-bandwidth-with-capped-crf/): Why capped CRF encoding on NETINT VPUs saves delivery bandwidth as lightweight CAE for H.264 and HEVC without giving up hard-scene quality control. - [Norsk and NETINT: Elevating Live Streaming Efficiency](https://netint.com/research/blog/norsk-and-netint-elevating-live-streaming-efficiency/): How NORSK adds efficient support for NETINT transcoding hardware so live platforms can raise quality while cutting cost and environmental impact. - [Choosing a Co-Location Facility](https://netint.com/research/blog/choosing-a-colocation-facility/): Lessons from Edgio on choosing and installing gear in co-location facilities when live platforms must scale under Disney-level delivery expectations. - [The LESS Accord and Energy-Efficient Streaming](https://netint.com/research/blog/the-less-accord-and-energy-efficient-streaming/): Key points from Greening of Streaming on the LESS Accord and how energy-efficient streaming goals shape build-your-own live transcoding infrastructure. - [Demystifying the live-streaming setup](https://netint.com/research/blog/demystifying-the-live-streaming-setup/): Jet-Stream founder Stef van der Ziel on live-streaming setup challenges, choosing transcoding technology, and the savings of owning encode infrastructure. - [NETINT Breaks Into the Streaming Media 100 List 2023](https://netint.com/research/blog/netint-breaks-into-the-streaming-media-100-list-2023/): NETINT joins Streaming Media's Top 100 companies list for innovation and contribution to the growth and maturation of the streaming media industry. - [Why Energy Efficiency Will Decide the Future of Video Infrastructure in Europe](https://netint.com/research/blog/energy-efficiency-video-europe/): Why energy efficiency will decide European video infrastructure futures when power prices, rack caps, and cooling limits block growth even with demand. - [The Architecture Beneath the Accelerator](https://netint.com/research/blog/vpu-system-architecture/): Why system design around the accelerator decides whether Video Processing Units deliver on density, efficiency, and operational promises in production. - [NETINT, Norsk, and Ampere launch Server-Based Solution](https://netint.com/research/blog/netint-norsk-and-ampere-launch-server-based-solution/): How NETINT, Norsk, and Ampere combine on a server-based live streaming solution as encoding architectures adapt beyond file-first workflows. - [Where Video Compute Belongs: A Latency-First Perspective](https://netint.com/research/blog/distributed-video-transcoding/): How i3D.net and NETINT VPUs make distributed video transcoding viable when latency matters more than consolidating every stream into the fewest sites. - [When the Economics of Video Break: A Framework of Escaping the Compute Trap](https://netint.com/research/blog/video-compute-trap/): A framework for escaping the video compute trap as specialized silicon and distributed compute rewrite the four cost levers that break traditional stacks. - [Power Is the New Bottleneck: Scaling Video Platforms in an Energy-Constrained Europe](https://netint.com/research/blog/video-infrastructure-power-constraints/): How European video platforms now scale against power, not only demand, as rack caps and electricity costs limit what CPU-heavy architectures can deliver. - [Watts per Stream: The Engineering Reality of Video Encoding Efficiency](https://netint.com/research/blog/watts-per-stream-in-video-encoding/): Why watts per stream is the real efficiency metric for video encoding as electricity costs rise and data center power caps tighten across Europe. - [The Era of Specialized Hardware: AI Inference and Video Encoding Shifts](https://netint.com/research/blog/hardware-video-encoding-specialized-hardware/): How specialized hardware is replacing one-size-fits-all GPUs for AI inference and video encoding as scale breaks general-purpose compute assumptions. - [Stop Paying the AWS Tax: VPU-Enabled Cloud Transcoding Guide](https://netint.com/research/blog/stop-paying-the-aws-tax/): A guide for teams owning the streaming P&L on why general-purpose AWS transcoding can inflate margins, and how VPU-enabled cloud encode changes the math. - [Hardware-Accelerated Video Streaming Efficiency & Savings](https://netint.com/research/blog/hardware-accelerated-video-streaming/): How hardware-accelerated video streaming lifts efficiency and savings when CPU-only transcoding can no longer keep pace with modern quality and scale needs. - [Powering High-Density, Multi-Language Streaming: Lessons from G&L’s European Parliament Project](https://netint.com/research/blog/gl_hybrid-cloud-streaming-for-government/): How G&L powered high-density multi-language streaming for the European Parliament across 30 live channels with dozens of simultaneous audio tracks each. - [The Shift in Video Encoding Technology: VPUs and Hybrid Workflows](https://netint.com/research/blog/vpus-and-hybrid-workflows/): How VPUs moved from optional encode gear to essential hardware for high-density, energy-efficient hybrid workflows that still mix cloud and on-prem paths. - [Lessons from Scalstrm’s Just-in-Time Transcoding Approach](https://netint.com/research/blog/how-to-maximize-efficiency-in-video-streaming-scalstrm/): Lessons from Scalstrm's just-in-time transcoding approach for engineers balancing quality, latency, and cost efficiency across modern video streaming workflows. - [Scaling Video Streaming Infrastructure: Lessons from Cloud Gaming (i3D.net)](https://netint.com/research/blog/scaling-video-streaming-infrastructure-lessons-from-cloud-gaming-i3d-net/): Lessons from i3D.net cloud gaming on scaling video streaming infrastructure against buffering, latency, and network issues with real-time networking DNA. - [AI-Powered Video Analytics for Public Safety and Retail Security](https://netint.com/research/blog/ai-powered-video-analytics/): How AI-powered video analytics for public safety and retail need efficient decode hardware to scale high-density coverage without crushing compute budgets. - [The Technology Revolution in Live Video Streaming: Solving Latency](https://netint.com/research/blog/solving-latency-in-live-video-streaming/): Keith Chow of Nokia on solving latency in live video streaming as sports and interactive formats make ultra-low delay a core business requirement. - [The Streaming Tech Revolution: Balancing Innovation and Reliability](https://netint.com/research/blog/the-streaming-tech-revolution/): SVTA insights on the streaming tech revolution, balancing innovation with interoperability, latency, and scale challenges that still trip production teams. - [From Overloaded CPUs to Barely Idling Machines](https://netint.com/research/blog/from-overloaded-cpus-to-barely-idling-machines/): How VPUs move video encoding from overloaded CPUs toward quieter, denser machines that protect quality for VOD and live sports without runaway cost. - [Transforming Video Streaming Efficiency with NETINT, Supermicro, and Ampere](https://netint.com/research/blog/transforming-video-streaming-efficiency/): How NETINT, Supermicro, and Ampere combine to transform streaming efficiency for platforms, gaming, and AI decode workloads that outgrow legacy stacks. - [Custom Silicon in Video Encoding and Processing: PwC State of the Semiconductor Industry Report](https://netint.com/research/blog/custom-silicon-drives-semiconductor-innovation-in-video/): How custom silicon for video encoding and processing sits at the center of semiconductor innovation as purpose-built chips tackle specialized compute loads. - [A New Era in Video Streaming: Insights from the Semiconductor Industry](https://netint.com/research/blog/insights-from-the-semiconductor-industry/): Why semiconductor advances matter to video streaming engineers, from hardware efficiency breakthroughs to handling massive data loads in competitive platforms. - [Revolutionizing Video Streaming Tech: A Step-by-Step Guide to Creating Better Streaming Experiences](https://netint.com/research/blog/revolutionizing-video-streaming-tech/): A step-by-step look at video streaming tech challenges and innovation opportunities for engineers building better experiences under shifting market demands. - [The Revolutionary Impact of NETINT VPUs on Modern Video Processing](https://netint.com/research/blog/the-impact-of-netint-vpus-on-video-processing/): How NETINT VPUs push modern video processing beyond incremental tweaks as quality expectations rise and traditional encode approaches hit hard limits. - [How Edge Computing and Open Caching are Shaping the Future of Video Delivery](https://netint.com/research/blog/edge-computing-and-open-caching/): How edge computing and open caching help streaming engineers fight congestion and latency when live video must reach millions without quality collapse. - [Cloud Gaming: The New Frontier in Smart TV Entertainment](https://netint.com/research/blog/cloud-gaming-the-new-frontier-in-smart-tv-entertainment/): How cloud gaming turns nearly a billion smart TVs into game portals, and why denser low-latency encoding is central to that CTV entertainment shift. - [Why Video Engineers Are Switching To Quadra VPUs](https://netint.com/research/blog/why-video-engineers-should-consider-switching-to-netints-quadra-vpu/): Why video engineers are switching to Quadra VPUs as subscriber growth rises while budgets shrink and platforms must encode more with fewer resources. - [How to Master Live Video Streaming: Insights for Video Engineers](https://netint.com/research/blog/how-to-master-live-video-streaming/): Practical insights for video engineers mastering live video streaming production so real-time experiences stay seamless, engaging, and commercially reliable. - [How ASICs and AVPUs are Transforming the Broadcast Industry](https://netint.com/research/blog/asics-and-avpus-transforming-the-broadcast-industry/): How ASICs and advanced VPUs are transforming broadcast encoding and transcoding by raising performance while cutting the OPEX pressure on engineering teams. - [Optimizing Video Streaming with Capped Constant Rate Factor (CRF) Encoding](https://netint.com/research/blog/optimizing-video-streaming-with-capped-crf-encoding/): How capped constant rate factor encoding helps providers protect video quality while managing bandwidth cost as on-demand and live viewing keep growing. - [NETINT Partners with Akamai to Build VPU-Powered Video Encoding for the Cloud](https://netint.com/research/blog/netint-partners-with-akamai/): NETINT partners with Akamai to bring VPU-powered video encoding into Akamai's distributed cloud, starting a wave of joint development for cloud media. - [The Future of AI: Decentralized, Personal, and Efficient](https://netint.com/research/blog/the-future-of-ai-decentralized-personal-and-efficient/): Reza Rassool of Kwaai on why AI is moving beyond centralized cloud services toward more decentralized, personal, and efficient architectures for builders. - [Video Processing Unit (VPU) - the NETINT's Journey to a Superior Discovery](https://netint.com/research/blog/video-processing-unit-vpu-the-netints-journey/): How NETINT moved from SSD innovation to creating the video processing unit category, with lessons for engineers focused on encode efficiency and performance. - [How to Reduce Operational Costs With Maelstrom OTT and Quadra VPU](https://netint.com/research/blog/how-to-reduce-operational-costs-with-maelstrom-ott-and-quadra-vpu/): How Maelstrom OTT plus Quadra VPUs reduce operational cost by pairing workflow software with an encode engine built for dense, efficient live streaming. - [Transforming Enterprise Video Security with Custom Silicon](https://netint.com/research/blog/transforming-enterprise-video-security-with-custom-silicon/): How purpose-built silicon transforms enterprise video security for NVR and VMS designs that must process more camera data with better cost and performance. - [Maximizing Video Streaming Efficiency with NETINT’s Quadra Video Server and Norsk Media Processing Framework](https://netint.com/research/blog/maximizing-video-streaming-efficiency-with-netint-and-norsk/): How NETINT's Quadra Video Server and the Norsk media framework work together to raise streaming efficiency without sacrificing quality or cost control. - [The Future of Personalized Ads and FAST Channels](https://netint.com/research/blog/the-future-of-personalized-ads-and-fast-channels/): How FAST channels, SSAI personalized ads, and adaptive streaming reshape viewer reach while keeping quality high enough to protect ad-supported engagement. - [Revolutionizing Media Delivery - 5G-MAG and Dash-js](https://netint.com/research/blog/revolutionizing-media-delivery-5g-mag-and-dash-js/): How open-source dash.js and 5G-MAG reference tools from Fraunhofer FOKUS are reshaping media delivery for developers building next-generation streaming clients. - [The Power of VPUs Compared to CPUs](https://netint.com/research/blog/the-power-of-vpus-compared-to-cpus/): Why ASICs and VPUs compared to CPUs are winning high-volume transcoding as real-time quality demands collide with power and cost limits in streaming. - [The 10x Advantage: VPUs vs. Software Encoders](https://netint.com/research/blog/the-10x-advantage-vpus-vs-software-encoders/): Why VPUs versus software encoders can deliver order-of-magnitude advantages, using api.video's pivot as a case for cutting OPEX under cloud cost pressure. - [Unlocking the Future of Real-Time Interactive Streaming](https://netint.com/research/blog/unlocking-the-future-of-real-time-interactive-streaming/): Livepeer CEO Eric Tang on real-time interactive streaming, decentralized delivery economics, and trends shaping high-quality video beyond classic cloud models. - [Process Video Security Streams with 10x Efficiency Using NETINT VPUs](https://netint.com/research/blog/process-video-security-streams-with-10x-efficiency-using-vpu/): How NETINT VPUs process rising counts of higher-resolution security camera streams with far greater efficiency than traditional video processing stacks. - [5 Video Encoding and Streaming Trends to Watch](https://netint.com/research/blog/5-video-encoding-and-streaming-trends-to-watch/): Five video encoding and streaming trends to watch, starting with advanced codecs like AV1 that expand reach while compressing more efficiently than H.264. - [Successfully Optimizing High-Volume Video-on-Demand Transcoding](https://netint.com/research/blog/successfully-optimizing-high-volume-video-on-demand-transcoding/): How to optimize high-volume VOD transcoding when uploads burst, live inputs vary, and ASIC-based workflows must keep quality and cost under control. - [Optimizing Live Video Streaming for Low Latency and High Quality](https://netint.com/research/blog/optimizing-live-video-streaming-for-low-latency-and-high-quality/): Practical tips for optimizing live video streaming pipelines when sports, news, and entertainment all demand low latency without sacrificing picture quality. - [Revolutionizing Video Streaming: A Deep Dive into Cutting-Edge Technologies](https://netint.com/research/blog/revolutionizing-video-streaming-a-deep-dive/): Voices of Video with G&L engineers on cutting-edge strategies reshaping streaming toward higher quality delivered more efficiently and cost-effectively. - [ASICs for Video Encoding: The Surest Way to Optimize Efficiency and Cost](https://netint.com/research/blog/asics-for-video-encoding-optimize-efficiency-and-cost/): Why ASICs for video encoding are the surest path to efficiency and cost control as UGC platforms drive relentless growth in stored and streamed bits. - [The Challenges Clouding the Gaming Horizon](https://netint.com/research/blog/the-challenges-clouding-the-gaming-horizon/): The challenges still clouding seamless multi-device cloud gaming, and how denser, lower-power encoding hardware helps platforms close the experience gap. - [ASIC Transcoding Revolution - BOLD's vision in Latin America](https://netint.com/research/blog/asic-transcoding-revolution-bolds-vision-in-latin-america/): BOLD MSS on ASIC-based transcoding in Latin America, covering strategies that raise performance while modernizing regional streaming delivery stacks. - [From VLC to VideoLAN. Insights from Jean-Baptiste Kempf](https://netint.com/research/blog/from-vlc-to-videolan-insights-from-jean-baptiste-kempf/): Jean-Baptiste Kempf on AV1 encode and decode challenges, HEVC and VVC futures, and HDR support in AV1 from the VideoLAN and VLC perspective. - [Cloud: The Launchpad, ASIC: The Rocket Ship - Owning Your Infrastructure for Sustainable Growth ](https://netint.com/research/blog/cloud-the-launchpad-asic-the-rocket-ship/): Why the cloud is a strong launchpad for interactive streaming but ASIC-owned infrastructure is the rocket ship for sustainable long-term growth. - [Key Insights on Edge Computing and Low Latency Video Streaming](https://netint.com/research/blog/key-insights-on-edge-computing-and-low-latency-video-streaming/): Key insights from Will Law on edge computing and low-latency video streaming for publishers that must deliver seamless quality across devices. - [api.video Revolutionizes the Industry with Zero-Cost Encoding](https://netint.com/research/blog/api-video-revolutionizes-the-industry-with-zero-cost-encoding/): How api.video announced zero-cost encoding across qualities by leaning on specialized ASIC transcoding to change the economics of hosted video processing. ## Pages - [Home](https://netint.com/): Purpose-built Quadra VPUs deliver high-density AV1, HEVC, and H.264 encoding at lower power than CPU or GPU. Explore the products and deployment paths. - [Go](https://netint.com/go/): Download NETINT VPU product brochures, datasheets, solution briefs, and technical specs for Quadra silicon, encoding servers, and Bitstreams software. - [Ecosystem](https://netint.com/ecosystem/): Find cloud providers CDNs server makers and software vendors running NETINT VPUs in production. Validated VPU-native encoding across the video pipeline. - [Broadcast](https://netint.com/broadcast/): BroadcastEncodingin-a-Box Scale channelsfrom 20 to 1,000+. Contact a Deployment Engineer → See the servers Broadcast Encoding in-a-Box. 20 to 1,000+ channels. Choose a server by the number of channels you need to deliver. Every size runs the same silicon and the same software, so you add capacity without rebuilding your workflow. CHANNELS 02004006008001,000+ 20channels Small - [Homepage Revamp Draft](https://netint.com/homepage-revamp-draft/): NETINT · Creator of the VPU Video encoding silicon. Built for scale. A VPU is a chip that does one job: encode video. NETINT invented it. Run VPUs in servers you own or on partner clouds using open source and commercial software integrations. 225,000+ VPUs in production 1.1 Trillion+ Minutes of video encoded Start an - [Products](https://netint.com/products/): Compare Quadra VPUs encoding servers and Bitstreams software. Four VPU form factors one silicon architecture and a path from test to production. - [About](https://netint.com/about/): NETINT created the VPU, purpose-built silicon that scales 4K video to billions of viewers. Over one trillion minutes encoded and a 2024 Tech Emmy winner. - [InterBEE](https://netint.com/interbee/): Visit NETINT at Inter BEE 2026, Hall 8, Booth 8201 (Nov 18–20). See live ASIC video encoding and download the Trend & Insight Report in English or Japanese. - [Bitstreams](https://netint.com/products/bitstreams/): Bitstreams gives operators browser-based VPU live streaming control on Quadra hardware. Templates telemetry SCTE-35 captions and RTP inputs without FFmpeg. - [Bitstreams API](https://netint.com/bitstreams-api/): The Bitstreams REST API lets schedulers, playout systems, and your own platform start, stop, and monitor NETINT VPU encoding, without FFmpeg expertise. - [Quadra T1M VPU](https://netint.com/products/quadra-t1m-vpu/): Quadra T1M M.2 VPU delivers up to 20x 1080p30 encoding under 10W for OEM and edge designs. Codensity G5 ASIC with AV1 HEVC and H.264 integration. - [Quadra T1U VPU](https://netint.com/products/quadra-t1u-vpu/): NETINT Quadra T1U slides into a U.2 bay for up to 32x 1080p30 encoding at 17W. Codensity G5 ASIC supports AV1 HEVC and H.264 for data center scale-out. - [Quadra T1A VPU](https://netint.com/products/quadra-t1a-vpu/): NETINT Quadra T1A VPU encodes up to 32x 1080p30 at 20W on PCIe Gen 4. Codensity G5 ASIC supports AV1 HEVC and H.264 with FFmpeg and GStreamer. - [Quadra T2A VPU](https://netint.com/products/quadra-t2a-vpu/): NETINT Quadra T2A packs dual Codensity G5 ASICs in one PCIe slot for up to 64x 1080p30 streams at 40W. AV1 HEVC and H.264 for hyperscale density. - [Quadra Video Server](https://netint.com/products/quadra-video-server/): 1RU Quadra Video Server with up to 10 T1U VPUs encodes 320x 1080p30 with AV1 HEVC and H.264. Bitstreams preloaded for on-prem and private cloud clusters. - [Quadra Mini Server](https://netint.com/products/quadra-mini-server/): Ultra-compact half-rack 1RU server with embedded T1M VPU. Encodes up to 20x 1080p30 with AV1 HEVC and H.264. Bitstreams preloaded for edge broadcast. - [From Silicon to Screen | Streaming Architecture Sessions On Demand](https://netint.com/silicon-to-screen-amsterdam/): Recorded sessions from NETINT, Scalstrm, and Hypersolid on efficient streaming at scale: VPU encoding, orchestration, and delivery. Available on demand. - [Test](https://netint.com/deploy/test/): Validate Quadra VPU performance and economics with your own workloads before migration. A test stage built on evidence, not assumptions about density or cost. - [Architectures Cloud](https://netint.com/deploy/architectures-cloud/): Run high-density video encoding in the cloud with Quadra VPUs without changing ingest, playback, or orchestration. Scale density and cut cost per stream. - [Deploy](https://netint.com/deploy/): De-risk VPU migration with NETINT's four-stage playbook. Parallel reversible testing from explore through scale with your FFmpeg and GStreamer workflows. - [Contact](https://netint.com/contact/): Contact NETINT for VPU sales and support. Vancouver HQ and Toronto R&D offices. Email sales@netint.com support@netint.com or info@netint.com. - [Codensity™ G4](https://netint.com/technology/codensity-g4/): VPU Products Codensity G4 1st Generation ASIC Video Processing Unit NETINT’s Codensity G4 ASIC increases encoding density compared to CPU-based software encoding solutions. This expands the number of channels that can be encoded without increasing the rack footprint or sacrificing video quality or latency. The G4 ASIC also reduces power consumption and cooling costs to minimize TCO. G4 Chip - [2026 State of Video Encoding - Early Access](https://netint.com/2026-state-of-video-encoding-early-access/): The State of Video Encoding | Early Access Thank You for Helping Shape This Report The 2026 State of Video Encoding Report exist because 286 engineers, architects, and executives took the time to share what they’re actually doing – not what the industry wishes were true. You were part of that. This is the full - [Symposium on Building Your Live Streaming Cloud - Registration Confirmation](https://netint.com/confirmations/symposium-on-building-your-live-streaming-cloud-registration-confirmation/): Congratulations! You are registered! Cutting Costs, Not Quality Symposium on Building Your Live Streaming Cloud AUGUST 17 | 11 AM - 2PM EST | VIRTUAL You shall receive confirmation email shortly.Please contact anita.flejter@netint.com for any issues with the registration.Thank you! - [Confirmations](https://netint.com/confirmations/) - [Net Insight](https://netint.com/netinsight/): Net Insight is back Tapping Netint VPUs for primary distribution play Net Insight integrated NETINT's ASIC-based Smart VPUs into its Nimbra Edge platform This advancement allows Net Insight to expand from IP transport into primary distribution, offering customers a 10x efficiency boost over traditional software methods, enabling real-time transcoding of H.264, HEVC, and AV1 codecs. - [Event](https://netint.com/event/): See where NETINT and the VPU Ecosystem exhibit next, including major shows like NAB. Meet the team and partners building VPU-native encoding infrastructures. - [Test Drive Portal](https://netint.com/test-drive-portal/): Test Drive Quadra - [Batic](https://netint.com/batic/): Meet the NETINT team at BATIC to see how Quadra VPUs cut the cost, power, and rack space of live video encoding for broadcast and streaming operators. - [More Video Capacity, Three Ways | NETINT | 1.D49 | IBC 2026](https://netint.com/ibc/): Leading CDNs, streaming platforms, and infrastructure innovators are building the next generation of video on VPUs. See it live at IBC 2026, Booth 1.D49. - [Why VPU](https://netint.com/why-vpu/): VPUs dedicate 100% of silicon to video encoding. Learn how purpose-built VPU infrastructure lowers cost per stream watts per stream and streams per rack. - [Cloud Pilot](https://netint.com/cloud-pilot/): Test NETINT VPU encoding in the cloud at no cost. Ecosystem cloud partners fund your pilot so you can run real workloads before buying any hardware. - [Start Here](https://netint.com/deploy/start-here/): Orient yourself in the NETINT VPU Deployment Playbook: diagnose where you are, learn the rules of the road, and choose explore, test, migrate, or scale next. - [Technology & Engineering Emmy Awards](https://netint.com/technology-engineering-emmy-awards/): NETINT received a Technology & Engineering Emmy for efficient hardware video accelerators for cloud, alongside AMD, Google, and Meta. See the award context. - [Codensity™ G5](https://netint.com/technology/codensity-g5/): The Codensity G5 is NETINT's second-generation ASIC VPU, combining on-chip AV1, HEVC, and H.264 encoding with built-in AI engines for video at scale. - [Encoding Efficiency at Scale for Streaming Architecture | Stockholm](https://netint.com/streaming-architecture-encoding-efficiency/): NETINT and Scalstrm hosted streaming architects in Stockholm on encoding efficiency at scale. Recap insights for teams running high-density video workflows. - [Core Values](https://netint.com/values/): NETINT core values: create customer value maintain a startup mentality win as a team and strive for excellence. How we build VPU technology and serve customers. - [Technology](https://netint.com/technology/) - [Explore](https://netint.com/deploy/explore/): Decide if Quadra VPUs are a technical and economic fit before deep testing. Explore density, cost, and integration risk before you invest in a full trial. - [Use Case](https://netint.com/use-case/): See how Quadra VPUs power cloud encoding edge delivery live broadcast surveillance multiview AV1 and AI-assisted transcoding across production deployments. - [Symposium: ASIC-Based Transcoding for High-volume Use Cases ](https://netint.com/symposium-asic-based-transcoding-for-high-volume-use-cases/): NOW ON-DEMAND! Learn about ASIC transcoding benefits for high-volume video services with expert insights on cost, quality, and VPU integration. - [Symposium on Building Your Live Streaming Cloud 2023 - on-demand](https://netint.com/symposium-on-building-your-live-streaming-cloud-2023-on-demand/): Watch on-demand sessions from NETINT's symposium on building a live streaming cloud. Hardware choices, architecture talks, and resources for encoding teams. - [Cloud Gaming](https://netint.com/cloud-gaming/): Quadra VPUs deliver high-density low-latency encoding for cloud gaming. ASIC VPU encoders paired with GPUs help platforms lower cost per concurrent user. - [2026 State of Video Encoding - What 286 Professionals Told Us](https://netint.com/2026-state-of-video-encoding/): What 286 video professionals told us about AV1 adoption, GPU versus VPU hardware, and AI in encoding. Download NETINT's free 2026 industry report. - [Support](https://netint.com/support/): Get NETINT technical support for VPU-based video infrastructure in real deployments. Contact support@netint.com, manage tickets, and access software releases. - [Surveillance](https://netint.com/surveillance/): Solve dense surveillance encoding with Quadra VPUs: bulk decode with AI filtering, a path to 4K, and lower operating cost without replacing every camera. - [VPU Resource Library](https://netint.com/vpu-resource-library/): VPU Resource Library A curated hub of guidance, tools and proof that make modern video scalable with Quadra VPUs. Search All Featured Voices of Video Podcasts Blogs Webinars All How LCEVC Works Discover how MPEG-5 LCEVC and VPUs work together to reduce bitrate, improve video efficiency, and More > How to Specify a VPU: The - [Blogs](https://netint.com/vpu-resource-library/blogs/): Blog Articles Timely analysis, product updates, and technical insights that clarify what matters in video. Search All Voices of Video Blogs Webinars Playbook Use Cases Pitch Kit Brochures A AC1 AI Akamai Akamai Cloud Akamai CloudNetActuate Akamai|Edge computing AMD AMD CPU Ampere All How LCEVC Works Discover how MPEG-5 LCEVC and VPUs work together to - [Set expo](https://netint.com/set-expo/): Meet NETINT at SET Expo to discuss Quadra VPU encoding for broadcast and TV 3.0. Cut encoding cost and power while preparing next-generation delivery. - [Security Show](https://netint.com/security-show/): Meet NETINT @ Security Show 2026 in Tokyo. Learn how hardware-based video processing optimizes storage, monitoring, AI & GPU workloads without replacing cameras - [Research](https://netint.com/research/): Hundreds of articles podcasts videos and guides on VPU encoding AV1 streaming infrastructure and video at scale. Searchable library for video teams. - [Blog](https://netint.com/research/blog/): Articles on VPU video encoding, codecs, and streaming infrastructure from NETINT. Practical analysis for engineers and architects building video at scale. - [Proof](https://netint.com/proof/) - [Topics](https://netint.com/research/topics/): Browse NETINT research by topic across VPU encoding, codecs, and streaming infrastructure. Find articles and resources matched to the problem you are solving. - [Nab](https://netint.com/nab/): See VPU-based video processing in action. Lower costs, higher efficiency, and scalable performance for modern video platforms. Visit NETINT at NAB, Booth W2713. - [Meet NETINT at Broadcast India](https://netint.com/meet-netint-at-broadcast-india/): Discover NETINT’s ASIC-powered video processing hardware at Broadcast India 2025. Meet Suong Nguyen in Mumbai to discuss sustainable, high-performance encoding. - [Meet at ISC West](https://netint.com/meet-at-isc-west/): Meet NETINT at ISC West to see how ultra-high-density ASIC video processing enables 10X more streams per NVR while reducing power, storage, and GPU costs. - [ISE](https://netint.com/ise/): Meet NETINT at ISE Barcelona | discuss purpose-built cloud video infrastructure for AV1 & HEVC encoding | Deliver higher density, and lower power. - [Live Streaming](https://netint.com/live-streaming/): Meet live streaming demand with Quadra VPU encoding built for density and efficiency. Purpose-built silicon for always-on, high-resolution streaming workloads. - [Legal](https://netint.com/legal/): Read NETINT legal notices and privacy policy covering how we collect and use information. Clear terms for visitors, customers, and partners using netint.com. - [Meet at MWC](https://netint.com/meet-at-mwc/): Join NETINT at MWC 2026 to see how mobile operators and edge providers reduce video infrastructure costs with high-density ASIC encoding. - [FAQ](https://netint.com/faq/): Answers for common Quadra VPU deployment issues: detection, drivers, and production checks. A practical FAQ for teams running VPU encoding in real environments. - [Scale](https://netint.com/deploy/scale/): Expand Quadra VPU capacity across workloads and regions with predictable economics. A scale stage focused on steady operations, not one-off peak tuning. - [Migrate](https://netint.com/deploy/migrate/): Move live encoding onto Quadra VPUs in parallel with CPU or GPU paths. Migrate production traffic incrementally to limit disruption during the cutover. - [Demuxed](https://netint.com/demuxed/): Three engineers walk into Demuxed. One talks benchmarks, one questions abstraction, one measures watts per frame. They’re from NETINT, and they speak VPU. - [Architectures Edge Distributed](https://netint.com/deploy/architectures-edge-distributed/): Move encoding closer to the source with Quadra VPUs to cut latency and bandwidth. Edge and distributed architectures for geographically spread video workloads. - [Architectures Hybrid](https://netint.com/deploy/architectures-hybrid/): Balance on-prem control and cloud elasticity with Quadra VPUs in a hybrid encoding architecture. Keep one workflow while placing capacity where cost fits. - [Architectures On-Prem](https://netint.com/deploy/architectures-on-prem/): Run high-density encoding in your data center with Quadra VPUs. Keep ingest and codecs the same while raising streams per rack and cutting power per stream. - [ANGACOM](https://netint.com/angacom/): Discover NETINT's Quadra video encoding solutions at ANGA COM 2026. Ultra-efficient, high-density, low-latency video processing for streaming and broadcast. - [Broadcast Asia](https://netint.com/broadcast-asia/): Heading to Broadcast Asia? Meet NETINT's engineers and explore our cost-efficient VPUs, edge-ready solutions, and cloud-integrated workflows for video encoding. ## Events - [IBC (International Broadcasting Convention)](https://netint.com/research/blog/research/event/ibc-international-broadcasting-convention/): Meet NETINT at IBC to transform media and broadcast infrastructure with data-center-class AV1, HEVC, and H.264 encoding at lower cost and power. - [SET Expo](https://netint.com/research/blog/research/event/set-expo/): Meet NETINT at SET Expo to prepare for Brazil's TV 3.0 with high-density encoding that cuts H.264 and HEVC cost and power across broadcast and streaming. - [Sports Video Group (SVG) Summit](https://netint.com/research/blog/research/event/sports-video-group-svg-summit/): Meet NETINT at the SVG Summit to power live sports production and distribution with low-latency, high-density video encoding at lower cost and power. - [Demuxed](https://netint.com/research/blog/research/event/demuxed/): Meet NETINT at Demuxed to talk codecs, pipelines, and player tech with video engineers, and ASIC-based encoding built for density, quality, and scale. - [Inter BEE](https://netint.com/research/blog/research/event/inter-bee/): Meet NETINT at Inter BEE to power IP, cloud, and AI media workflows in Japan with high-density, energy-efficient video encoding and transcoding. - [Northern Waves](https://netint.com/research/blog/research/event/northern-waves/): Meet NETINT at Northern Waves to help Nordic broadcasters and OTT platforms modernize delivery with high-efficiency, low-power video encoding at scale. - [Broadcast India Show](https://netint.com/research/blog/research/event/broadcast-india-show/): Meet NETINT at Broadcast India to scale OTT, CDN, and cloud media workflows with high-density, energy-efficient video encoding built for India's growth. - [SEGMENTS:2026 @ SCTE Tech Expo](https://netint.com/research/blog/research/event/segments2026-scte-tech-expo/): Connect with NETINT at SEGMENTS to advance streaming infrastructure with purpose-built VPUs, higher density, lower power, and reduced cost per stream. - [Gamescom](https://netint.com/research/blog/research/event/gamescom/): Meet NETINT at Gamescom to power cloud gaming and game streaming with low-latency, high-density encoding that cuts cost per stream at real-time scale. - [BATIC](https://netint.com/research/blog/research/event/batic/): Meet NETINT at BATIC to power telco, cloud, and CDN video infrastructure across APAC with energy-efficient VPUs built for streaming and AI workloads. - [VidCon](https://netint.com/research/blog/research/event/vidcon/): Meet NETINT at VidCon to power creator and UGC platforms with scalable, low-cost transcoding and consistent quality for high-volume short-form and live video. - [Interop Tokyo 2026](https://netint.com/research/blog/research/event/interop-tokyo-2026/): Meet NETINT at Interop Tokyo to cut data center and cloud video costs with VPUs built for transcoding density, power efficiency, and infrastructure scale. - [InfoComm](https://netint.com/research/blog/research/event/infocomm/): Meet NETINT at InfoComm to bring high-density, energy-efficient video processing to ProAV, from QMS through large-scale AV-over-IP deployments. - [CES (Consumer Electronics Show)](https://netint.com/research/blog/research/event/ces-consumer-electronics-show/): Meet NETINT at CES to see how VPUs power efficient video encoding for next-generation streaming and consumer media, more channels, less power, lower cost. - [ISE (Integrated Systems Europe)](https://netint.com/research/blog/research/event/ise-integrated-systems-europe/): Meet NETINT at ISE to bring data-center-class video encoding to AV and streaming workflows, with higher density, lower power, and reduced cost per stream. - [GDC (Game Developers Conference)](https://netint.com/research/blog/research/event/gdc-game-developers-conference/): Talk to NETINT at GDC about low-latency, high-density encoding for cloud gaming and game streaming, cutting cost per stream while scaling real-time video. - [MWC (Mobile World Congress)](https://netint.com/research/blog/research/event/mwc-mobile-world-congress/): Connect with NETINT at MWC to power telco and edge video infrastructure with energy-efficient VPUs built for high-volume encoding and streaming at scale. - [Security Show (Tokyo)](https://netint.com/research/blog/research/event/security-show-sponsoring-j21/): Meet NETINT at Security Show Tokyo for high-density video decoding and AI analytics, processing more surveillance streams per server at a fraction of the power. - [ISC West](https://netint.com/research/blog/research/event/isc-west/): Meet NETINT at ISC West to scale video surveillance with VPUs, high-density decoding, AI analytics, and lower power across access control and IoT. - [DASH-IF Spring Interop](https://netint.com/research/blog/research/event/dash-if-spring-interop/): Connect with NETINT at DASH-IF Interop on low-latency packaging, codecs, and interoperability, with efficient encoding for the next era of streaming standards. - [NAB Show](https://netint.com/research/blog/research/event/nab-show-national-association-of-broadcasters/): Meet NETINT at NAB Show to transform broadcast and streaming infrastructure with data-center-class AV1, HEVC, and H.264 encoding at lower cost and power. - [The Security Event](https://netint.com/research/blog/research/event/the-security-event/): Meet NETINT at The Security Event to power UK surveillance deployments with high-density video decoding, AI analytics, and dramatically lower energy use. - [The Media Production & Technology Show (MPTS)](https://netint.com/research/blog/research/event/the-media-production-technology-show-mpts/): Connect with NETINT at MPTS to bring efficient, high-density video encoding to production and post, with scalable performance for modern media workflows. - [ANGA COM](https://netint.com/research/blog/research/event/anga-com/): Meet NETINT at ANGA COM to power OTT, cloud TV, and streaming delivery with energy-efficient VPUs that cut cost per stream across broadband networks. - [Asia Tech X Singapore (Broadcast Asia included)](https://netint.com/research/blog/research/event/asia-tech-x-singapore-broadcast-asia-included/): Meet NETINT at Broadcast Asia to scale streaming and broadcast workflows across APAC with high-density, low-power video encoding built for regional growth. - [NEM (New Europe Market)](https://netint.com/research/blog/research/event/nem-new-europe-market/): Connect with NETINT at NEM to help CEE broadcasters and OTT platforms scale streaming on tighter budgets, with lower cost per stream and reduced power. - [CABSAT](https://netint.com/research/blog/research/event/cabsat/): Meet NETINT at CABSAT to modernize broadcast, satellite, and streaming infrastructure across MENA with efficient, high-density video encoding and transcoding. ## Partners - [Scalstrm](https://netint.com/vpu-ecosystem/scalstrm/): Discover how Scalstrm orchestrates video workflows for NETINT VPU-accelerated encoding, enabling scalable and efficient streaming infrastructure. - [Arcadian](https://netint.com/vpu-ecosystem/arcadian/): Discover how Arcadian helps design and deploy modern video platforms integrating NETINT VPU-accelerated video processing infrastructure. - [Zixi](https://netint.com/vpu-ecosystem/zixi/): Reliable Live Video Transport and Orchestration at Broadcast Scale Zixi provides the transport, orchestration, and monitoring layer for live video moving over unmanaged IP networks. Its platform carries broadcast-quality feeds from venues, studios, and remote sites to distribution endpoints worldwide, with error correction, hitless failover, and end-to-end visibility across every path. As a partner in - [Wowza](https://netint.com/vpu-ecosystem/wowza/): Wowza Streaming Engine runs H.264 and HEVC transcoding on NETINT VPUs, with ingest, packaging, and origin in the same self-managed pipeline. - [V-Nova](https://netint.com/vpu-ecosystem/v-nova/): V-Nova's MPEG-5 LCEVC adds an enhancement layer to hardware-encoded H.264, HEVC and AV1 streams: lower bitrate at VPU density, no codec migration required. - [i3D.net](https://netint.com/vpu-ecosystem/i3d-net/): Discover how i3D.net’s global infrastructure supports low-latency video streaming with NETINT VPU. Meet the team at NAB 2026. - [NetActuate](https://netint.com/vpu-ecosystem/netactuate/): NetActuate enables organizations to deploy NETINT Video Processing Units (VPUs) as a service through its global infrastructure platform. - [Advantech](https://netint.com/vpu-ecosystem/advantech/): Discover how Advantech system platforms enable scalable deployments of NETINT VPU-accelerated video processing infrastructure. - [Misao Network](https://netint.com/vpu-ecosystem/misao-network/): Misao Network works with NETINT VPUs to deliver efficient, scalable video processing for broadcast and streaming platforms, reducing cost and power consumption. - [Akamai Cloud](https://netint.com/vpu-ecosystem/akamai-cloud/): How Akamai Distributed Cloud and NETINT VPUs deliver scalable, hardware-accelerated video encoding and global streaming delivery for media platforms. - [Cires21](https://netint.com/vpu-ecosystem/cires21/): Discover how Cires21 infrastructure platforms enable scalable NETINT VPU-accelerated video processing for modern streaming environments. - [G&L Systemhaus](https://netint.com/vpu-ecosystem/gl-systemhaus/): Hardware transcoding is typically deployed for high-volume transcoding applications. You can encode with a CPU, but - it's not optimized for transcoding. - [EasyTools](https://netint.com/vpu-ecosystem/easytools/): How EasyTools and NETINT VPUs combine broadcast and OTT processing with VPU workflows. Transcoding and workflow control for professional video pipelines. - [Jet-Stream](https://netint.com/vpu-ecosystem/jet-stream/): How Jet-Stream and NETINT VPUs orchestrate large-scale encoding across cloud and on-prem. An integrated path from ingest through VPU encoding to delivery. - [Norsk](https://netint.com/vpu-ecosystem/norsk/): How Norsk and NETINT VPUs support real-time composition for modern streaming. Overlays, multiview, and live processing paired with efficient VPU encoding. - [Net Insight](https://netint.com/vpu-ecosystem/net-insight/): How Net Insight and NETINT VPUs support mission-critical contribution and distribution. Reliable low-latency transport into VPU-powered processing pipelines. - [Dell Technologies](https://netint.com/vpu-ecosystem/dell-technologies/): How Dell servers and NETINT VPUs support high-density encoding. Enterprise chassis used for multi-VPU density in broadcast and streaming deployments. - [CDN77](https://netint.com/vpu-ecosystem/cdn77/): How CDN77 and NETINT VPUs support high-performance streaming distribution for VPU-encoded streams at scale, including sports, entertainment, and live events. - [Capella Systems](https://netint.com/vpu-ecosystem/capella-systems/) ## Resources - [NETINT VPUs Hit New Milestone with 225,000 Units Installed and 1.1 Trillion Minutes Encoded as Streaming Moves to Custom Silicon](https://netint.com/research/press-release/netint-225000-vpu-milestone/): NETINT VPUs surpass 225,000 deployments worldwide with 1.1 trillion minutes encoded, showcasing the VPU Ecosystem at IBC 2026. - [The benefits and Limitations of FFmpeg, Gstreamer, & GPAC](https://netint.com/research/podcast/the-benefits-and-limitations-of-ffmpeg-gstreamer-gpac/): GPAC contributor Romain Bouqueau on multi-threaded FFmpeg limits, 4K HEVC encoding challenges, and how GPAC and Gstreamer mitigate performance bottlenecks. - [Watts Up With Your Encoder? Akamai & Cires21 Benchmark VPUs vs. GPUs](https://netint.com/research/podcast/watts-up-with-your-encoder-akamai-cires21-benchmark-vpus-vs-gpus/): Akamai and Cires21 benchmark findings on VPU versus GPU energy efficiency, showing how watt gaps reshape video processing infrastructure choices. - [The New Economics of Transcoding: How VPUs Unlock FAST, AVOD & Back-Catalog Revenue](https://netint.com/research/podcast/the-new-economics-of-transcoding-how-vpus-unlock-fast-avod-back-catalog-revenue/): Arcadian on how VPUs change transcoding economics and timing so FAST, AVOD, and back-catalog revenue stop waiting on encode as the bottleneck. - [Unveiling the Future: RealSprint's Innovations in Low Latency Streaming and the Rise of AV1 Codec](https://netint.com/research/podcast/unveiling-the-future-realsprints-innovations-in-low-latency-streaming-and-the-rise-of-av1-codec/): RealSprint on choosing NETINT ASICs for Vindral Live CDN AV1 capabilities after evaluating software, GPU, and CPU transcoding for low-latency delivery. - [Driving Innovation in Connected TV: Automation and AI with Martin Tyler from FX Digital](https://netint.com/research/podcast/driving-innovation-in-connected-tv-automation-and-ai-with-martin-tyler-from-fx-digital/): FX Digital's Martin Tyler on vision-based automation for connected TV apps, scaling 300,000 test cases, and AI correcting automated test creation at Discovery. - [Navigating the New Era of Broadcasting with StreamVX](https://netint.com/research/podcast/navigating-the-new-era-of-broadcasting-with-streamvx/): StreamVX CEO Simon Karbowsky on replacing legacy broadcast systems with software that tackles OTT buffering and quality gaps through NETINT VPU partnerships. - [Revolutionizing Real-Time Engagement: New Horizons in AI-Driven Video Interactions with MuseMe](https://netint.com/research/podcast/revolutionizing-real-time-engagement-new-horizons-in-ai-driven-video-interactions-with-museme/): MuseMe's Mark and Philip on AI-driven live video that replicates group watch party dynamics, building on LivePeer roots for real-time interactive engagement. - [The Future of Video Encoding with ASIC Technology](https://netint.com/research/podcast/the-future-of-video-encoding-with-asic-technology/): SemiAnalysis Dylan on Google Argos VCUs reshaping YouTube and Google Photos, and why tech giants invest in custom ASIC silicon for advanced video codecs. - [Smart TV Gaming: Breaking Boundaries in Your Living Room](https://netint.com/research/podcast/smart-tv-gaming-breaking-boundaries-in-your-living-room/): Return Entertainment CEO Vesa on turning nearly one billion connected smart TVs into gaming portals, breaking cloud gaming barriers from Commodore 64 roots. - [From Broadcast Beginnings to 8K Streaming Prowess](https://netint.com/research/podcast/from-broadcast-beginnings-to-8k-streaming-prowess/): Jet-Stream CEO Stef van der Ziel on internet broadcasting since 1994, 40% TCO reductions, 100% uptime, nine CDN integrations, and 8K streaming deployments. - [Navigating the Global Market Through Authentic Innovation](https://netint.com/research/podcast/navigating-the-global-market-through-authentic-innovation/): Qualabs co-founder JP Saibene on expanding from Uruguay to 100+ professionals, entering the US market, and building video products through authentic innovation. - [Breaking Barriers in Low Latency Communication](https://netint.com/research/podcast/breaking-barriers-in-low-latency-communication/): nanocosmos founder Oliver Lietz on 25 years of low-latency streaming, from codec provider to live platform, with real-time global conference case studies. - [Expanding Horizons with Open Caching and Edge Networks](https://netint.com/research/podcast/expanding-horizons-with-open-caching-and-edge-networks/): Qwilt's Mark Fisher on open caching standards with Comcast, edge computing partnerships, and how collaborative CDN innovation reshapes streaming performance. - [Demystifying CTV Ads: Simplifying TV Campaigns for Local Businesses](https://netint.com/research/podcast/demystifying-ctv-ads-simplifying-tv-campaigns-for-local-businesses/): Streamr founder Jonathan Moffie on putting local businesses on TV for about $250, demystifying connected TV advertising from Yahoo fast channels to streamr.ai. - [A Deep Dive into India's Content Delivery Future](https://netint.com/research/podcast/a-deep-dive-into-indias-content-delivery-future/): Experience ultra-low-latency encoding by learning how B-Frames affect decoding latency so you can safely eliminate them from the live-streaming workflow. - [Mastering Live Events for Unforgettable Brand Impact](https://netint.com/research/podcast/mastering-live-events-for-unforgettable-brand-impact/): Bulldog DM founder John Petroccelli on live video production from YouTube and Coachella to brand experiences, ad blockers, cord-cutting, and audience dynamics. - [Transforming Gaming Through Hybrid Technology](https://netint.com/research/podcast/transforming-gaming-through-hybrid-technology/): Blacknut CEO Olivier Avaro on hybrid cloud architecture delivering 700+ games affordably while tackling internet instability in emerging markets worldwide. - [From Small Team to Major Player in Streaming Tech](https://netint.com/research/podcast/from-small-team-to-major-player-in-streaming-tech/): 2Coders co-founder Dailos Medina on scaling from 10 to 50 engineers during the pandemic and evolving from bespoke smart TV apps to standardized OTT solutions. - [What Does it Take for Video to Reach Your Screen?](https://netint.com/research/podcast/what-does-it-take-for-video-to-reach-your-screen/): Dolby's Alex Zambelli on codecs underpinning streaming at scale, live versus on-demand distribution complexity, and lessons from Microsoft and Warner Bros. - [How Scalstream Replaced 40 Servers with Just Two](https://netint.com/research/podcast/how-scalstream-replaced-40-servers-with-just-two/): Scalstrm's Dominique Vosters on replacing 40 origin servers with two VPU-powered boxes, saving $90,000 annually while maintaining broadcast-grade quality. - [Density, Efficiency, Power: Why VPUs Are Redefining What's Possible in Video Encoding](https://netint.com/research/podcast/density-efficiency-power-why-vpus-are-redefining-whats-possible-in-video-encoding/): Cires21's Nacho Mileo on VPUs shifting from optional add-on to essential encoding infrastructure, delivering density, efficiency, and hybrid cloud deployment. - [Cloud Meets Hardware: How Net Insight's Nimbra Edge Revolutionizes Video Routing](https://netint.com/research/podcast/cloud-meets-hardware-how-net-insights-nimbra-edge-revolutionizes-video-routing/): Net Insight's Adam Nilsson and Pierre Le Fevre on Nimbra Edge bridging satellite workflows to IP-native cloud video transport while cutting broadcast costs. - [Beyond CDNs: Conversations on Infrastructure Scaling with i3D.net](https://netint.com/research/podcast/beyond-cdns-conversations-on-infrastructure-scaling-with-i3d-net/): i3D.net co-founder Stefan Ideler on scaling global networks for EA, Ubisoft, and Discord, and why POP count alone does not define delivery performance. - [From Brussels to the Cloud: When Government Video Gets Smart](https://netint.com/research/podcast/from-brussels-to-the-cloud-when-government-video-gets-smart/): G&L's Alexander Leschinsky on hybrid streaming for the European Parliament: 30 live channels with 32 audio tracks each and nearly 1,000 simultaneous streams. - [VLC to VPU: Evolution of Video Processing retold by Easy Tools](https://netint.com/research/podcast/vlc-to-vpu-evolution-of-video-processing-retold-by-easy-tools/): Easy Tools co-founder Christophe Massiot, creator of VLC, on evolving from open-source media players to broadcast encoding and VPU-powered production stacks. - [From AWS to On-Prem: Jet-Stream's Efficient Video Processing Revolution](https://netint.com/research/podcast/from-aws-to-on-prem-jet-streams-efficient-video-processing-revolution/): Jet-Stream CEO Stef van der Ziel on European data sovereignty driving sovereign cloud and on-premises video processing solutions beyond AWS-only workflows. - [The Lag Ends Here: Dolby's Battle Against Streaming Delay](https://netint.com/research/podcast/the-lag-ends-here-dolbys-battle-against-streaming-delay/): Dolby's Paul Boustead on sub-500ms live sports streaming, why consistent low latency across all viewers matters, and transforming the sports viewing experience. - [Akamai's Connected Cloud: 90% Cost Reduction for Video Processing](https://netint.com/research/podcast/akamais-connected-cloud-90-cost-reduction-for-video-processing/): Akamai's Sarah Walter on NETINT VPUs in Connected Cloud cutting video processing costs up to 90% across core, distributed, and edge compute tiers. - [Are ASICs the Future of Video Processing?](https://netint.com/research/podcast/are-asics-the-future-of-video-processing/): Cires21 R&D head Dennis Mungai on density-driven encoding evolution from CPU to GPU to ASIC hardware reshaping broadcast delivery for giants like the BBC. - [Greening the Streaming Industry](https://netint.com/research/podcast/greening-the-streaming-industry/): Greening of Streaming founder Dom Robinson on video using 2-3% of global electricity and systematic industry efforts to cut encoding and delivery energy use. - [Where's the CDN Market Heading? A Deep Dive with Mark de Jong](https://netint.com/research/podcast/wheres-the-cdn-market-heading-a-deep-dive-with-mark-de-jong/): CDN Alliance chairman Mark de Jong on full-fledged versus lean CDN providers, edge computing shifts, Traffic Radar coordination, and low-latency working groups. - [Streaming at the Speed of Soccer: How Zapping Conquered Latency](https://netint.com/research/podcast/streaming-at-the-speed-of-soccer-how-zapping-conquered-latency/): Zapping CTO Nacho Opazo on building Latin American virtual TV with streams one minute ahead during soccer, 40% less bandwidth, and instant-start interfaces. - [CDN in Your Pocket: Nokia's Secret Weapon Against Buffering](https://netint.com/research/podcast/cdn-in-your-pocket-nokias-secret-weapon-against-buffering/): Nokia's Keith Chow on UDP multicast approaches delivering live sports faster than broadcast when 50-70% viewer concurrency stresses traditional streaming. - [Game Over for Traditional Gaming? Not Quite Yet.](https://netint.com/research/podcast/game-over-for-traditional-gaming-not-quite-yet/): Radian Arc's David Cook on cloud gaming reaching mobile-first audiences without replacing high-end setups, and convergence driving digital game distribution. - [No Silver Bullets: The Messy Reality of Video Streaming Technology](https://netint.com/research/podcast/no-silver-bullets-the-messy-reality-of-video-streaming-technology/): SVTA director Jason Thibeault on the messy streaming video tech stack, collaboration across 130 member companies, and persistent delivery gaps industry-wide. - [VR and MultiView: How Tiled Media is Revolutionizing Sports Viewing](https://netint.com/research/podcast/vr-and-multiview-how-tiled-media-is-revolutionizing-sports-viewing/): Tiled Media's Rob Koenen on tile streaming technology letting sports fans switch camera angles and build personalized multi-feed viewing experiences. - [Why Your Storage Needs a Diet Plan and AI Is the Nutritionist](https://netint.com/research/podcast/why-your-storage-needs-a-diet-plan-and-ai-is-the-nutritionist/): MoreScreens founder Predrag Mandelbaum on AI-driven storage optimization and delivering video across smartphones, smart TVs, and set-top boxes since 1999. - [The Secret Sauce of Sub-Second Streaming (THEO Player - now Dolby)](https://netint.com/research/podcast/the-secret-sauce-of-sub-second-streaming-theo-player-now-dolby/): Theo Technologies CTO Peter Jan Speelmans on THEOPlayer evolution, low-latency streaming challenges, and analytics that shape viewer experience quality. - [Who Owns Your Digital Brain?](https://netint.com/research/podcast/who-owns-your-digital-brain/): KWAI CEO Reza Rasool on personal AI that runs locally, RAG separating models from knowledge bases, and privacy concerns with cloud-based AI services. - [The Onion Layers of Video: A Deep Dive into WebRTC](https://netint.com/research/podcast/the-onion-layers-of-video-a-deep-dive-into-webrtc/): WebRTC pioneer Tsahi Levent-Levi on protocol stacks, sub-second latency requirements, network unpredictability, and when to use third-party WebRTC solutions. - [Cores Galore: Video Processing Without the Computational Gymnastics](https://netint.com/research/podcast/cores-galore-video-processing-without-the-computational-gymnastics/): Ampere on ARM processors with up to 192 cores delivering predictable single-threaded video performance and low watt-per-core density for streaming. - [From VHS Tapes to Huddle: The Evolution of Sports Video Analysis](https://netint.com/research/podcast/from-vhs-tapes-to-huddle-the-evolution-of-sports-video-analysis/): Huddle's Casey Bateman on evolving sports video analysis from physical tape exchanges to digital platforms serving 97% of US high school football programs. - [600 Channels, 1 Server - Reimagining Video Processing for Sustainability](https://netint.com/research/podcast/600-channels-1-server-reimagining-video-processing-for-sustainability/): Scalstrm and NETINT on just-in-time transcoding with VPUs, migrating from software to hardware acceleration in months and winning live deployments. - [Quality, Cost, Latency: The Hidden Battles in Video Delivery](https://netint.com/research/podcast/quality-cost-latency-the-hidden-battles-in-video-delivery/): Bold MSS director Martin Azpiroz on transcoding chains from satellite ingest to playback, ASIC encoding gains, and energy costs hitting 30% of hardware spend. - [Save 66%: Why Your Video Streaming Budget is Going Up in Smoke](https://netint.com/research/podcast/save-66-why-your-video-streaming-budget-is-going-up-in-smoke/): NetInsight and NETINT on Nimbra Edge processing that cuts three-year HD stream costs from about $10,117 to $3,500 versus AWS Media Live workflows. - [From Gaming to Streaming: How i3DNet's Hybrid Infrastructure Breaks Vendor Lock-in](https://netint.com/research/podcast/from-gaming-to-streaming-how-i3dnets-hybrid-infrastructure-breaks-vendor-lock-in/): Stefan Ideler on i3D.net's gaming-grade hybrid infrastructure breaking vendor lock-in for video streaming at global scale with low-latency delivery. - [Mini Box, Massive Impact: How Advantech and NETINT built a compact edge server for high-performance streaming.](https://netint.com/research/podcast/mini-box-massive-impact-how-advantech-and-netint-built-a-compact-edge-server-for-high-performance-streaming/): Advantech's Dom Mrakuzic on the Quadra Mini Server with NETINT, encoding 20 simultaneous 1080p streams at about 10 watts for compact edge streaming. - [Pixels, Profits, and Processing: The Hidden Economics of Streaming](https://netint.com/research/podcast/pixels-profits-and-processing-the-hidden-economics-of-streaming/): Arcadian CEO Joe Waltzer on pixels, profits, and processing challenges when streaming platforms ingest thousands of classic films overnight at scale. - [Silicon Showdown: CPUs, GPUs, and VPUs Battle for Data Center Dominance](https://netint.com/research/podcast/silicon-showdown-cpus-gpus-and-vpus-battle-for-data-center-dominance/): Stefan Ideler from i3D.net on hybrid cloud video infrastructure, global network scale, and why VPUs compete with CPUs and GPUs for data center dominance. - [The Engine Isn’t Enough: Building Robust Media Frameworks Around the VPU](https://netint.com/research/podcast/the-engine-isnt-enough-building-robust-media-frameworks-around-the-vpu/): Mark Donnigan and Dominique Vosters on building robust media frameworks around VPUs so encoding performance translates into reliable streaming production. - [Training Your Own LLM: The Untapped Value of Media Archives](https://netint.com/research/podcast/training-your-own-llm-the-untapped-value-of-media-archives/): Cires21's Ryan Jesperson on training broadcast-specific LLMs from media archives with Media Co-Pilot, moving beyond bolt-on AI for tier-one production workflow. - [Efficiency, Economics, and Innovation - Transforming Video Architectures](https://netint.com/research/podcast/efficiency-economics-and-innovation-transforming-video-architectures/): Akamai, Scalstrm, and Arcadian leaders on how efficiency economics are forcing media companies to rethink video delivery and processing architectures. - [The TikTok of Live TV | Swipe, Watch, Repeat](https://netint.com/research/podcast/the-tiktok-of-live-tv-swipe-watch-repeat/): Ignacio Opazo on building Latin America's pioneering OTT live TV experience, from early El Telón work to swipe-watch habits shaping modern viewing. - [Energy Is the New Bottleneck in Live Video | Why VPUs Beat GPUs for Low-Res ABR at 4–6x Energy Savings](https://netint.com/research/podcast/energy-is-the-new-bottleneck-in-live-video-why-vpus-beat-gpus-for-low-res-abr-at-4-6x-energy-savings/): Why energy is the new live video bottleneck, with data showing VPUs delivering about 4 to 6x better efficiency than GPUs for low-resolution ABR ladders. - [Hyperscale for Video | Stop Asking GPUs to Be Everything at Once](https://netint.com/research/podcast/hyperscale-for-video-stop-asking-gpus-to-be-everything-at-once/): Why hyperscale video needs dedicated VPUs instead of asking GPUs to do everything, cutting streaming cost while raising quality and feature headroom. - [From Campbell to Codensity: A Practical Hero’s Journey in Video Encoding](https://netint.com/research/podcast/from-campbell-to-codensity-a-practical-heros-journey-in-video-encoding/): A practical hero's journey from ordinary CPU and GPU encoding toward high-density, power-efficient Codensity G5 VPUs for production video workloads. - [Cloud Bills Made You Cry? Gamers Already Fixed That](https://netint.com/research/podcast/cloud-bills-made-you-cry-gamers-already-fixed-that/): What gaming-first latency discipline teaches interactive video teams when streams feel great one moment and laggy the next under cloud cost pressure. - [Your Sports Car Is Cool, But The Taxi Wins On Power Bills](https://netint.com/research/podcast/your-sports-car-is-cool-but-the-taxi-wins-on-power-bills/): Running NETINT VPUs on Akamai Cloud for live and just-in-time ABR, sync, DRM, and low-latency packaging when power bills beat sports-car GPUs. - [Synchronizing 20 Perspectives: The Future Of Multi-View Esports](https://netint.com/research/podcast/synchronizing-20-perspectives-the-future-of-multi-view-esports/): How multi-view esports streaming synchronizes dozens of POV feeds live and affordably so fans never miss clutch moments across team perspectives. - [So You Want A VPU? Here’s The No-Drama Way To Plug, Play, And Push To Your CDN](https://netint.com/research/podcast/so-you-want-a-vpu-heres-the-no-drama-way-to-plug-play-and-push-to-your-cdn/): Kenneth Robinson's practical playbook for deploying NETINT VPUs at any growth stage, from retrofitting live stacks to pushing encodes toward your CDN. - [Scaling Video at the Edge: A Practical Roadmap](https://netint.com/research/podcast/scaling-video-at-the-edge-a-practical-roadmap/): A practical roadmap for scaling video at the edge where power limits, bandwidth cost, and live latency collide, with Advantech and NETINT ASICs. - [Rethinking Live Publishing: Templates, Roles, and Hybrid Control](https://netint.com/research/podcast/rethinking-live-publishing-templates-roles-and-hybrid-control/): Inside G&L Playout Hub hybrid live publishing for broadcasters and institutions that must run hundreds of events with roles, templates, and control. - [Trust, Footprint, and Milliseconds: The Real Levers of Live Streaming](https://netint.com/research/podcast/trust-footprint-and-milliseconds-the-real-levers-of-live-streaming/): How a live gaming platform rethought architecture around trust, footprint, and milliseconds to feel instant, look sharper, and cost less at scale. - [AI Hype vs. Broadcast Reality: Why FFmpeg Alone Isn’t Enough](https://netint.com/research/podcast/ai-hype-vs-broadcast-reality-why-ffmpeg-alone-isnt-enough/): Why AI hype collides with broadcast reality when live latency and subtitle timing matter, and FFmpeg alone is not enough for production stacks. - [Borrow the Brainpower: How Outsourcing Cuts Costs and Ships Faster](https://netint.com/research/podcast/borrow-the-brainpower-how-outsourcing-cuts-costs-and-ships-faster/): How borrowing specialized talent through managed services cuts cost and ships video products faster without burning out the core engineering team. - [When Video Leaves the Studio: Building Low-Power, High-Density Systems That Scale](https://netint.com/research/podcast/when-video-leaves-the-studio-building-low-power-high-density-systems-that-scale/): How low-power, high-density encode systems scale when live video leaves the studio for OB vans, hospitals, rail yards, and other constrained sites. - [Your Buffering Wheel Is Not a Feature: Why Real-Time Video Lives at the Edge](https://netint.com/research/podcast/your-buffering-wheel-is-not-a-feature-why-real-time-video-lives-at-the-edge/): Why interactive streaming cannot rely on deep buffers and centralized encode alone, and why real-time video belongs closer to the network edge. - [Designing Video Systems Around Latency Constraints](https://netint.com/research/podcast/designing-video-systems-around-latency-constraints/): Why latency is now a structural constraint in modern video systems, not a polish step, when neighbors cheer before your live stream catches up. - [Ramageddon Meets Video Encoding Reality | When Video Becomes The New Data Center Fuel](https://netint.com/research/podcast/ramageddon-meets-video-encoding-reality-when-video-becomes-the-new-data-center-fuel/): Dell Technologies on rebuilding video infrastructure around power, cooling, and purpose-built silicon when memory pricing and data center fuel costs spike. - [What If Efficiency Means Headroom Not Speed](https://netint.com/research/podcast/what-if-efficiency-means-headroom-not-speed/): Why encoding efficiency should mean production headroom, not only benchmark speed, when messy networks and thermal limits hit real video systems. - [You Bought A VPU, Now Where Are The Brakes | Anatomy Of A Video Streaming Stack](https://netint.com/research/podcast/you-bought-a-vpu-now-where-are-the-brakes-anatomy-of-a-video-streaming-stack/): Mark Donnigan and Arcadian CEO Joe Waltzer unpack the anatomy of a video streaming stack after you buy a VPU and still need full-system brakes. - [Swapping the Engine While It Runs | How Video Platforms Introduce Hardware Acceleration Without Breaking Production](https://netint.com/research/podcast/swapping-the-engine-while-it-runs-how-video-platforms-introduce-hardware-acceleration-without-breaking-production/): How video platforms introduce hardware acceleration without breaking production workflows, beyond treating VPUs as a simple faster-encoder swap. - [The Encoder Got Faster While You Slept | How VPUs On Akamai Cloud Change The Cost And Scale Of Video Encoding](https://netint.com/research/podcast/the-encoder-got-faster-while-you-slept-how-vpus-on-akamai-cloud-change-the-cost-and-scale-of-video-encoding/): Sarah Walter of Akamai on how VPU-accelerated encoding changes cloud video cost and scale after a year of AV1 pressure and rising cloud bills. - [You Can Deploy VPU Encoding In Seconds Without Lock In](https://netint.com/research/podcast/you-can-deploy-vpu-encoding-in-seconds-without-lock-in/): Spinning up high-performance video encoding should not require a weeks-long infrastructure project or a hyperscaler feature request. Mark Mahle, co-founder and CEO of NetActuate, joins Voices of Video to discuss a network-first approach to global infrastructure as a service, and why the “plumbing”… - [Why Security Systems Choke On Video And How VPUs Fix It](https://netint.com/research/podcast/why-security-systems-choke-on-video-and-how-vpus-fix-it/): Your cameras might be "AI ready," but your security stack can still grind to a halt for a simple reason: video has to be decoded, resized, and converted before any AI model can use it. That invisible work is where many surveillance systems hit their limits, even when GPUs are already reserved for… - [The GPU You Want Is Gone. Now What? | How Zixi Builds Reliable Live IP Video from Ingest to OTT](https://netint.com/research/podcast/the-gpu-you-want-is-gone-now-what-how-zixi-builds-reliable-live-ip-video-from-ingest-to-ott/): When a major live event is only hours away, “we couldn’t get the GPU instance” is not an acceptable outcome. Cloud capacity constraints are forcing video teams to reconsider how they approach live transcoding, infrastructure availability, operational complexity, and the true cost of delivering IP… - [Brazil’s DTV Plus: How TV 3.0 Is Driving LCEVC Adoption](https://netint.com/research/video/brazil-dtv-plus-lcevc/): Brazil’s DTV Plus rollout gave LCEVC something new video technologies rarely get: a commercial reason for the whole device ecosystem to support it. - [Rethinking Video Infrastructure: Private Cloud, Low Latency, and the Move Beyond Hyperscalers](https://netint.com/research/video/video-infrastructure-private-cloud/): Rising cloud costs, data sovereignty rules, and latency demands are pushing video teams to reconsider the hyperscaler default. - [Save 50%+ on Encoding, Then Comes the Hard Part: Operationalizing VPUs at Scale with Arcadian](https://netint.com/research/video/arcadian-operationalize-vpus/): Cutting encoding OpEx by 50% or more with a VPU is the easy win. Making it work in production is where most streaming projects actually get hard. - [Scaling Live Video Infrastructure with AI and VPUs](https://netint.com/research/video/wowza-live-video-ai-vpus/): Video is no longer just content. It is becoming a valuable source of real-time data, and the infrastructure underneath it has to keep up. - [From Capture to Compute: Advantech’s Vision for the Future of Broadcast](https://netint.com/research/video/from-capture-to-compute/): Explore how Advantech is shaping the future of broadcast with AI, edge computing, VPUs, and scalable video infrastructure for modern media workflows. - [Inside Zixi's Cloud-Native Video Platform: Scaling Live Streaming with VPUs](https://netint.com/research/video/inside-zixis-cloud-native-video-platform-scaling-live-streaming-with-vpus/): How Zixi scales live streaming with NETINT VPUs on a cloud-native platform. Watch the case study on density efficiency and production deployment. - [Why Are You Paying 5,000x Too Much? Rethinking Video Infrastructure Before IBC 2026](https://netint.com/research/video/why-are-you-paying-5000x-too-much/): NetActuate runs on the fourth largest network in the world, processes 25 billion transactions a day, and has NETINT VPUs deployed across 18 global markets. - [Introduction](https://netint.com/research/video/introduction/): Mark kickstarts the event with a warm welcome and an overview of what attendees can expect to learn throughout the symposium. - [About ASICs](https://netint.com/research/video/about-asics/): SemiAnalysis Dylan on ASIC-based encoding and transcoding market evolution over the next five to ten years as purpose-built silicon replaces general compute. - [Cloud Service Provider](https://netint.com/research/video/cloud-service-provider/): Kyle details opportunities for CDNs to tightly integrate with video processing on the network edge. - [High-Volume VOD](https://netint.com/research/video/high-volume-vod/): api.video on switching to ASIC transcoding and offering free transcoding to customers, with NETINT VPU cost savings driving strategic pricing changes. - [Broadcast](https://netint.com/research/video/broadcast/): Zapping on private CDN innovation, NETINT Quadra Video Server integration, and reducing latency while deploying across South American countries to open markets. - [Interactive Streaming](https://netint.com/research/video/interactive-streaming/): Ilya on supporting 10,000 simultaneous input streams and 1,000,000 outbound streams, comparing CPU, GPU, and ASIC costs, power, and density with a framework. - [The Benefit of Ampere Cloud Native Processors in Modern Video Services](https://netint.com/research/video/the-benefit-of-ampere-cloud-native-processors-in-modern-video-services/): Ampere and NETINT on high-core Cloud Native processors plus VPUs for transcoding, streaming, VoD, deinterlacing, and Whisper transcription at low power. - [ASIC-Based Transcoding Compared to GPU and CPU](https://netint.com/research/video/asic-based-transcoding-compared-to-gpu-and-cpu/): Kenneth Robinson compares CPU-only, GPU, and ASIC transcoding with throughput and CAPEX/OPEX examples so engineers can make informed hardware decisions. - [Integrating NETINT's Quadra VPUs](https://netint.com/research/video/integrating-netints-quadra-vpus/): NETINT's Daniel Zhou on Quadra VPU integration options, single and multi-card load management, and robustness capabilities for stable encoding infrastructure. - [Q&A Panel](https://netint.com/research/video/qa-panel-2/): Panel discussion; under Mark Donnigan's moderation, speakers answered questions submitted via the registration form. - [Q&A Panel](https://netint.com/research/video/qa-panel/): Panel discussion moderated by Mark Donnigan, with speakers answering questions submitted via the registration form. - [Closing Keynote](https://netint.com/research/video/closing-keynote/): Jet-Stream founder Stef van der Ziel on MaelStrom hybrid transcoding, cutting energy about 89% versus software for hundreds of HD channels in one rack. - [Empowering a Greener Tomorrow: The LESS Accord and its Energy Savings Drive](https://netint.com/research/video/empowering-a-greener-tomorrow-the-less-accord-and-its-energy-savings-drive/): Greening of Streaming on the LESS Accord defining compression best practices for energy-efficient streaming while maintaining default quality of experience. - [Start Streaming in Minutes with Wowza Streaming Engine](https://netint.com/research/video/start-streaming-in-minutes-with-wowza-streaming-engine/): Wowza Streaming Engine multi-codec streaming from any source with captioning, ad insertion, DRM, LL-HLS, LL-DASH, and WebRTC on self-managed infrastructure. - [Choosing a Co-Location Facility](https://netint.com/research/video/choosing-a-co-location-facility/): Edgio's Kyle Faber on colo economics, human-capital costs, provider certifications, redundancy, cooling for high-density video, and site visit evaluation. - [Deploying GPAC for Transcoding and Packaging](https://netint.com/research/video/deploying-gpac-for-transcoding-and-packaging/): GPAC overview from Romain Bouqueau on open-source processing, inspection, packaging, and streaming recently deployed by Netflix for worldwide live packaging. - [Make Live Easy with Norsk SDK](https://netint.com/research/video/make-live-easy-with-norsk-sdk/): Norsk low-code SDK for dynamic live video workflows covering ingest, multi-camera program creation, transcoding, packaging, and CDN delivery at any scale. - [Choosing Your Live Production Software](https://netint.com/research/video/choosing-your-live-production-software/): Jan Ozer on live streaming core software from FFmpeg and GPAC to Wowza and Norsk, helping teams affordably build transcoding and packaging ecosystems. - [From CPU to GPU to ASIC: Our Transcoding Journey](https://netint.com/research/video/from-cpu-to-gpu-to-asic-our-transcoding-journey/): Ilya on high-volume live transcoding moving from libx264 through GPUs to ASICs with lower power and higher stream density, plus an evaluation framework. - [Why Use Hardware for Video Encoding?](https://netint.com/research/video/why-use-hardware-for-video-encoding/): The first Voices of Video episode: the case for ASIC-based transcoding (as adopted by YouTube and Meta), featuring RealSprint of Sweden. - [The Duality the Streaming Video Industry Faced in 2022](https://netint.com/research/video/the-duality-the-streaming-video-industry-faced-in-2022/): NETINT's Bob Fung and Supermicro's Ben Lee on the duality facing the streaming video industry in 2022. - [Meta and the Metaverse](https://netint.com/research/video/meta-and-the-metaverse/): Taking stock of where the Metaverse stands - VR, AR, and video - and what it means for the future of streaming. - [Live Streaming in a Box](https://netint.com/research/video/live-streaming-in-a-box/): StreamVX CEO Szymon Karbowski on delivering high-quality, low-latency video with a live-streaming-in-a-box hardware solution. - [Why YouTube and Meta Encode with ASICs](https://netint.com/research/video/why-youtube-and-meta-encode-with-asics/): Why the world's largest video platforms (YouTube, Meta) run largely on ASICs - the power and density advantages of purpose-built encoding. - [Choosing the Right Technology for Low-Latency Streaming: WebRTC, LL HLS/DASH, and H5Live](https://netint.com/research/video/choosing-the-right-technology-for-low-latency-streaming-webrtc-ll-hls-dash-and-h5live/): nanocosmos' Oliver Lietz on which productions need low-latency delivery and the quality/robustness tradeoffs of WebRTC, LL-HLS/DASH, and H5Live. - [Building Localized OTT Networks](https://netint.com/research/video/building-localized-ott-networks/): Jet-Stream's Stef van der Ziel on localized OTT video networks for bandwidth-limited and individualized streaming use cases. - [Choosing Transcoding Hardware](https://netint.com/research/video/choosing-transcoding-hardware/): Kenneth Robinson compares CPU-only, GPU, and ASIC transcoding with throughput, CAPEX, and OPEX examples to help engineers pick the right hardware approach. - [Build a 300 Channel Live Streaming Server with De-Interlacing](https://netint.com/research/video/build-a-300-channel-live-streaming-server-with-de-interlacing/): NETINT, Ampere, and Supermicro on a 1RU Arm server with Quadra VPUs ingesting interlaced channels for cost-effective 1080p OTT transcoding at scale. - [Powering Your OTT Journey from Start to Finish with MaelStrom OTT and Quadra VPU](https://netint.com/research/video/powering-your-ott-journey-from-start-to-finish-with-maelstrom-ott-and-quadra-vpu/): Jet-Stream and NETINT on MaelStrom OTT plus Quadra VPU as a plug-and-play appliance simplifying operations, integration, and cost for telcos and enterprises. - [OpenAI Whisper for Real-Time Video Subtitles](https://netint.com/research/video/openai-whisper-for-real-time-video-subtitles/): The groundbreaking integration of OpenAI's Whisper technology into NETINT's Quadra Video Server - Ampere Edition. - [Simplifying Live Video at Scale: Norsk SDK Meets NETINT VPUs](https://netint.com/research/video/simplifying-live-video-at-scale-norsk-sdk-meets-netint-vpus/): Explore the powerful combination of id3as's Norsk SDK and NETINT's Quadra-Ampere server. - [Bridging Broadcast with ASICs in the G&L AVPU](https://netint.com/research/video/bridging-broadcast-with-asics-in-the-gl-avpu/): Learn about the additional inputs available (SDI, DVB-S, 2110 planned) and G&L's software integration into Enterprise environments. - [VPUs in the Cloud with Akamai & NETINT](https://netint.com/research/video/vpus-in-the-cloud-with-akamai-netint/): Sarah Walter (Akamai) & Mark Donnigan (NETINT) show how NETINT VPUs in Akamai Connected Cloud cut OPEX by up to 90% vs. software-based cloud encoding. - [Understanding the Benefits and Limitations of FFmpeg, Gstreamer, and GPAC](https://netint.com/research/video/understanding-the-benefits-and-limitations-of-ffmpeg-gstreamer-and-gpac/): GPAC founder Romain Bouqueau on FFmpeg multithreaded performance limits, GPAC licensed by Netflix for live streaming, and framework feature trade-offs. - [How Technology Distribution Is Different in India](https://netint.com/research/video/how-technology-distribution-is-different-in-india/): OTTVerse founder Krishna Rao on producing, delivering, and consuming video in India: codec support, encoding ladders, infrastructure capacity, and devices. - [Cloud Gaming is Real. A Conversation with the CEO of Blacknut](https://netint.com/research/video/cloud-gaming-is-real-a-conversation-with-the-ceo-of-blacknut/): Blacknut CEO Olivier Avaro on streaming games from the cloud, OPEX challenges, open-internet latency hurdles, and CPU-GPU-VPU architecture for providers. - [Scalable Distribution in the Age of DRM: Key Challenges and Implications](https://netint.com/research/video/scalable-distribution-in-the-age-of-drm-key-challenges-and-implications/): Alex Zambelli on codec evangelism, HLS and DASH with CMAF, DRM implications, and distribution-at-scale challenges from Microsoft Olympics to Warner Bros. - [Greening of Streaming: Uniting the Industry for Energy Efficiency](https://netint.com/research/video/greening-of-streaming-uniting-the-industry-for-energy-efficiency/): Greening of Streaming founder Dom Robinson on cutting power from production through encoding, transport, delivery, and viewing across the streaming ecosystem. - [Unveiling the Powerhouse Behind Zapping!](https://netint.com/research/video/unveiling-the-powerhouse-behind-zapping/): Zapping CTO Nacho Opazo on virtual pay-TV across Chile, Brazil, and Peru, HEVC versus H.264 ladders, and AI plans to elevate viewer quality of experience. - [Play Anywhere, Anytime: Transforming Game Distribution with Cloud Gaming](https://netint.com/research/video/play-anywhere-anytime-transforming-game-distribution-with-cloud-gaming/): Radian Arc's David Cook on OTT expansion, mobile-first markets, cloud gaming technical constraints, and telco go-to-market strategies for streaming games. - [Solving the Multiview Streaming Problem](https://netint.com/research/video/solving-the-multiview-streaming-problem/): Tiledmedia's Rob Koenen on multiview strategies from Apple and YouTube, tiled streaming IP used at Beijing Games and Premier League, balancing cost and UX. - [Streamlined Streaming: THEOLive, THEOPlayer, and the Rise of Multi-Codec Adoption](https://netint.com/research/video/streamlined-streaming-theolive-theoplayer-and-the-rise-of-multi-codec-adoption/): THEO Technologies CTO Pieter-Jan Speelmans on LL-HLS, DASH, WebRTC, HESP, THEOPlayer's role, and the shift toward multi-codec adoption among streaming clients. - [WebRTC Revealed: Dissecting Myths with Tsahi Levent-Levi](https://netint.com/research/video/webrtc-revealed-dissecting-myths-with-tsahi-levent-levi/): Tsahi Levent-Levi on WebRTC scaling myths, incomplete ultra-low-latency assumptions, and building broadcast-grade low-latency streaming for production. - [97% of US Football Teams Use This Video Platform](https://netint.com/research/video/97-of-us-football-teams-use-this-video-platform/): HUDL's Casey Bateman on sports video from local schools to pro leagues, platform longevity since 2007, and AV1 and HEVC codecs for sports review workflows. - [Streaming Media Mastery: Edge Computing, Low-Latency Delivery, and More](https://netint.com/research/video/streaming-media-mastery-edge-computing-low-latency-delivery-and-more/): Akamai chief architect Will Law on edge computing for media, high-egress D2C use cases, UGC transcoding, game encoding, Media over QUIC, and low-latency OTT. - [Mastering Digital to OTT Content Conversion - BOLD MSS & Martín Azpiroz](https://netint.com/research/video/mastering-digital-to-ott-content-conversion-bold-mss-martin-azpiroz/): BOLD MSS director Martin Azpiroz on converting satellite signals to live OTT, transcoder reliability choices, and migrating from GPU to ASIC for lower power. - [From SDI to AV1: Transforming Video Delivery with G&L Engineers](https://netint.com/research/video/from-sdi-to-av1-transforming-video-delivery-with-gl-engineers/): G&L engineers Alexander Leschinsky and Martin Schmalohr on SDI-to-AV1 workflows, NETINT transcoders, Blackmagic gear, and 25 years of customer cost savings. - [From Vision to Virtualization: ASIC Solutions & Multimedia Frameworks](https://netint.com/research/video/from-vision-to-virtualization-asic-solutions-multimedia-frameworks/): NETINT's Daniel Zhou on ASIC efficiency versus CPUs and GPUs, comprehensive software stacks, SDK availability, and integration ease for video processing. - [StreamTech Futures: Interactive Realities and Engineering Innovations](https://netint.com/research/video/streamtech-futures-interactive-realities-and-engineering-innovations/): Livepeer co-founder Eric Tang on interactive streaming across sports, gaming, and e-commerce, AV1 adoption, and generative AI implications for video platforms. - [The Role of V-Nova PresenZ in Evolving VR Experiences](https://netint.com/research/video/the-role-of-v-nova-presenz-in-evolving-vr-experiences/): V-Nova CEO Guido Meardi on PresenZ cinematic photorealism, Six Degrees of Freedom navigation, and studio collaborations bringing immersive VR to consumers. - [A Practitioner's Guide to Interactive Video Streaming](https://netint.com/research/video/a-practitioners-guide-to-interactive-video-streaming/): Behnam Kakavand on a decade of interactive streaming lessons: why SRT fails, WebRTC limits, going back to basics, and AI co-pilots for encoder quality tuning. - [Monitoring Video Quality of Production Feeds](https://netint.com/research/video/monitoring-video-quality-of-production-feeds/): Elecard's Victoria Tuzova on live stream quality monitoring across 40 remote locations and 1,000+ streams during major soccer championship deployments. - [Streaming into the Future: Open-Source Innovation in Media](https://netint.com/research/video/streaming-into-the-future-open-source-innovation-in-media/): dash.js lead developer Daniel Silhavy on open-source media streaming, 5G-MAG reference tools, adaptation set switching, and production-grade player updates. - [How European Broadcasters Adapt Streaming Tech](https://netint.com/research/video/how-european-broadcasters-adapt-streaming-tech/): Broadpeak's Xavier Leclercq on profitability over subscriber growth, FAST channels, targeted ads, and ITV and TF1 becoming streaming destinations in Europe. - [Harnessing Ampere Arm-based Processors to Cut OPEX and Energy Costs](https://netint.com/research/video/harnessing-ampere-arm-based-processors-to-cut-opex-and-energy-costs/): Ampere's Sean Varley on Arm processors reducing power up to 2.8x versus traditional CPUs, up to 192 cores, and sustainable cloud computing for video platforms. - [Democratizing AI Avatars with Reza Rassool from Kwaai](https://netint.com/research/video/democratizing-ai-avatars-with-reza-rassool-from-kwaai/): Kwaai's Reza Rassool on democratizing AI avatars and personal video streaming, ethical AI development, and breakthroughs in accessible video communication. - [What it Takes to Produce Streams for the Largest Events in the World](https://netint.com/research/video/what-it-takes-to-produce-streams-for-the-largest-events-in-the-world/): Bulldog DM CEO John Petrocelli on producing streams for the world's largest music, corporate, and sporting events, from brands to glass-to-glass delivery. - [The GenAI Revolution in CTV Advertising w Jonathan Moffie - streamr.ai](https://netint.com/research/video/the-genai-revolution-in-ctv-advertising-w-jonathan-moffie-streamr-ai/): streamr.ai's Jonathan Moffie on Generative AI empowering SMBs to create professional CTV video ads quickly, reshaping local business reach and ad accessibility. - [Transforming Streaming: Insights from 2Coders Co-Founder Dailos Medina](https://netint.com/research/video/transforming-streaming-insights-from-2coders-co-founder-dailos-medina/): 2Coders co-founder Dailos Medina on advanced live and on-demand streaming, interactive scalable solutions, and future trends in streaming media technology. - [The Future of Live Streaming: Insights on CDN Performance with Qwilt's Mark Fisher](https://netint.com/research/video/the-future-of-live-streaming-insights-on-cdn-performance-with-qwilts-mark-fisher/): Qwilt's Mark Fisher on Open Caching and edge streaming for mass live events, giving rights holders CDN capacity and delivery performance sports fans expect. - [Revolutionizing Video Tech: Innovation, Entrepreneurship, and Global Impact](https://netint.com/research/video/revolutionizing-video-tech-innovation-entrepreneurship-and-global-impact/): Qualabs CEO Juan Pablo Saibene on scaling global streaming platforms, AI and cloud workflows, and flawless content delivery for massive events like Olympics. - [Smartphone Magic: Transforming TV Gaming Control - Return Entertainment](https://netint.com/research/video/smartphone-magic-transforming-tv-gaming-control-return-entertainment/): Return Entertainment on using smartphones as TV game controllers, smashing cloud gaming barriers, and lag-busting tech bringing big-screen play to everyone. - [Truly Interactive Video Using Artificial Intelligence - MuseMe](https://netint.com/research/video/truly-interactive-video-using-artificial-intelligence-museme/): MuseMe on AI micro-services making live and VoD video fully interactive, letting viewers click objects in-stream and giving producers real-time engagement data. - [Driving Innovation in Connected TV: Automation and AI (FX Digital)](https://netint.com/research/video/driving-innovation-in-connected-tv-automation-and-ai-fx-digital/): FX Digital's Martin Tyler on vision-based automation frameworks, scaling 300,000 connected TV test cases, and AI creating and correcting automated tests. - [AI, Analytics & Experiences: MoreScreens' Recipe for Streaming Success](https://netint.com/research/video/ai-analytics-experiences-morescreens-recipe-for-streaming-success/): MoreScreens on harnessing AI and analytics for personalized streaming experiences, predicting binge-watch behavior, and solving customer care at scale. - [The Present and the Future of Streaming Technology w Jason Thibeault](https://netint.com/research/video/the-present-and-the-future-of-streaming-technology-w-jason-thibeault/): SVTA director Jason Thibeault on standardization, hybrid streaming solutions, device compatibility, and open-source projects tackling industry fragmentation. - [Zero Latency, Zero Drift w Keith Chow](https://netint.com/research/video/zero-latency-zero-drift-w-keith-chow/): Nokia's Keith Chow on near-instantaneous live streaming, multicast and unicast latency reduction, and World Cup-scale reliability overcoming packet loss. - [The Future of CDN: Trends, Challenges, and Innovations w Mark de Jong](https://netint.com/research/video/the-future-of-cdn-trends-challenges-and-innovations-w-mark-de-jong/): CDN Alliance chairman Mark de Jong on ecosystem evolution, security and edge computing shifts, Traffic Radar peak coordination, and low-latency working groups. - [Powering the Future of Video Streaming: VPUs, AI, & Hybrid Workflows](https://netint.com/research/video/powering-the-future-of-video-streaming-vpus-ai-hybrid-workflows/): Cires21's Nacho Mileo on VPUs as essential encoding infrastructure, AI-driven video technology, and hybrid cloud deployments with NETINT silicon. - [Scalstrm's Just-in-Time Transcoding with NETINT](https://netint.com/research/video/scalstrms-just-in-time-transcoding-with-netint/): Scalstrm's Dominique Vosters on just-in-time transcoding, CPU-to-VPU migration, and NETINT partnerships cutting infrastructure costs at NAB showcases. - [Net Insight's Vision for the Future of Video Distribution](https://netint.com/research/video/net-insights-vision-for-the-future-of-video-distribution/): Net Insight's Adam Nilsson and Pierre Le Fevre on Nimbra Edge, broadcast modernization, and NETINT VPU integration for high-performance hybrid distribution. - [i3D.net's take on CDN, video streaming, and gaming infrastructure](https://netint.com/research/video/i3d-nets-take-on-cdn-video-streaming-and-gaming-infrastructure/): i3D.net's Stefan Ideler on powering EA, Ubisoft, and Discord, direct peering advantages, and how gaming infrastructure reshapes video streaming delivery. - [GnL powers the European Parliament's Streaming with NETINT & Akamai](https://netint.com/research/video/gnl-powers-the-european-parliaments-streaming-with-netint-akamai/): G&L's Alexander Leschinsky on European Parliament streaming with 30 live channels and 32 audio tracks each, using NETINT VPUs, Ampere CPUs, and Akamai Cloud. - [Sovereign Clouds, On-Prem Solutions and Green Encoding w Jet-Stream](https://netint.com/research/video/sovereign-clouds-on-prem-solutions-and-green-encoding-w-jet-stream/): Jet-Stream CEO Stef van der Ziel on European sovereignty, award-winning Dutch sovereign cloud, on-prem demand surges, and NETINT hardware for green transcoding. - [From VLC to Broadcast Innovation: Chris Massiot on Easy Tools & VPUs](https://netint.com/research/video/from-vlc-to-broadcast-innovation-chris-massiot-on-easy-tools-vpus/): VLC creator Christophe Massiot on Easy Tools modular broadcast software and NETINT VPUs enabling cost-effective live streaming, OTT, and production workflows. - [Dolby's Vision for Low Latency Streaming: Sports, VPUs & NAB 2025 Preview](https://netint.com/research/video/dolbys-vision-for-low-latency-streaming-sports-vpus-nab-2025-preview/): Dolby's Paul Boustead on scaling on-prem sports encoding, Dolby Vision and HEVC roles, why VPUs matter for immersive live experiences, and NAB 2025 innovations. - [Akamai x NETINT | Unleashing Cloud-Powered Video Innovation](https://netint.com/research/video/akamai-x-netint-unleashing-cloud-powered-video-innovation/): Akamai's Sarah Walter on NETINT VPUs in Connected Cloud with AV1 support, up to 90% OpEx savings, and hybrid infrastructure beyond traditional CDN services. - [The Real-World Impact of VPUs: Cires21's Transition to ASICs](https://netint.com/research/video/the-real-world-impact-of-vpus-cires21s-transition-to-asics/): Cires21 R&D specialist Dennis Mungai on moving from CPU and GPU workflows to NETINT ASICs, benchmarking AV1, HEVC, and H.264 across real broadcast scenarios. - [i3D.net on Hybrid Models, CDN Evolution & Scaling Discord-Level Video](https://netint.com/research/video/i3d-net-on-hybrid-models-cdn-evolution-scaling-discord-level-video/): i3D.net CTO Stefan Ideler on bare metal hybrid models, escaping vendor lock-in, and supporting millions of concurrent Discord-level video streams with VPUs. - [Built, Tested, Shipped: Scalstrm's Sprint to Real-Time Transcoding w VPUs](https://netint.com/research/video/built-tested-shipped-scalstrms-sprint-to-real-time-transcoding-w-vpus/): Scalstrm's Dominique Vosters on building hardware-accelerated just-in-time transcoding in under six months, running 64 live channels on a shoebox-sized server. - [From Cloud Overload to Venue Edge: Workflows with Nimbra Edge + VPUs](https://netint.com/research/video/from-cloud-overload-to-venue-edge-workflows-with-nimbra-edge-vpus/): Net Insight's Adam Nilsson on transcoding at the stadium with NETINT VPUs and Nimbra Edge transport, cutting egress, latency, and per-stream costs by about 66%. - [Mini Box, Massive Impact - Advantech & NETINT's compact edge server](https://netint.com/research/video/mini-box-massive-impact-advantech-netints-compact-edge-server/): Advantech's Dom Mrakuzic on the compact edge Quadra Mini Server with NETINT: half-width stadium form factor, broadcast encoding, and a low-power M.2 card. - [Rethinking the CDN: How i3D.net Powers Video at the Interactive Edge](https://netint.com/research/video/rethinking-the-cdn-how-i3d-net-powers-video-at-the-interactive-edge/): i3D.net CTO Stefan Ideler on hybrid cloud driven by economics, scaling gaming and AI video workloads, and rethinking CDN architecture at the interactive edge. - [What 12 Watts Can Do: Akamai + Cires21 Put VPUs to the Test](https://netint.com/research/video/what-12-watts-can-do-akamai-cires21-put-vpus-to-the-test/): Akamai and Cires21 benchmarks: a NETINT VPU delivered 19 simultaneous 1080p60 streams at 12 watts, matching GPU quality on AV1 and HEVC production workflows. - [Your 4K Stream Looks Great… Until You See the Bill](https://netint.com/research/video/your-4k-stream-looks-great-until-you-see-the-bill/): Arcadian CEO Joe Waltzer on bloated 4K cloud bills, broken metadata chains, and repatriating workloads with VPU efficiency while keeping Hollywood-grade QoE. - [The Cost, Cloud, and Carbon: How Media Leaders Rewrite Video Delivery](https://netint.com/research/video/the-cost-cloud-and-carbon-how-media-leaders-rewrite-video-delivery/): Akamai, Scalstrm, and Arcadian on hybrid cloud strategies, VPUs slashing energy bills, and Media over QUIC disrupting traditional video delivery architecture. - [AI for Broadcasters: How Cires 21's Media Copilot Delivers Tier-One Video Workflows](https://netint.com/research/video/ai-for-broadcasters-how-cires-21s-media-copilot-delivers-tier-one-video-workflows/): Cires21's Ryan Jespersen on Media Copilot for editorial and live events, private LLMs protecting broadcast IP, and NETINT VPUs for dense tier-one encoding. - [How Zapping Redefined Live Streaming in Latin America](https://netint.com/research/video/how-zapping-redefined-live-streaming-in-latin-america/): Zapping CTO Nacho Opazo on 500+ live channels across Chile, Brazil, Peru, and Ecuador, swipe-to-watch UX, and pushing video quality standards region-wide. - [Building Resilient Video Workflows with VPUs, G&L, and Scalstrm](https://netint.com/research/video/building-resilient-video-workflows-with-vpus-gl-and-scalstrm/): G&L and Scalstrm on resilient video workflows from European Parliament deployments to 4K deinterlacing and managing 320+ audio channels with VPU performance. - [Adaptability at Scale - Capella Systems on Building Encoders for the Real World](https://netint.com/research/video/adaptability-at-scale-capella-systems-on-building-encoders-for-the-real-world/): Capella CEO Ikuyo Yamada on modular transcoding from file workflows to hybrid density, VPUs on Akamai Connected Cloud, and flexibility over vendor lock-in. - [Designing Video Systems Around Latency Budgets](https://netint.com/research/video/designing-video-systems-around-latency-budgets/): i3D.net on how latency budgets shape where video compute lives, trade-offs as workloads move closer to users, and why lower latency adds operational complexity. - [When Benchmarks Lie: How Video Teams Misread Efficiency](https://netint.com/research/video/when-benchmarks-lie-how-video-teams-misread-efficiency/): Cires21's Juan Casal on why average throughput misleads at production scale and why predictability, worst-case behavior, and sustained load drive deployment. - [Introducing Hardware Acceleration Safely When CPU Stop Scaling](https://netint.com/research/video/introducing-hardware-acceleration-safely-when-cpu-stop-scaling/): Scalstrm's Dominique Vosters on introducing hardware-accelerated transcoding safely when CPU scaling hits cost, density, and operational complexity limits. - [The Data Center Shift | Power, Supply Chains, and Video at Scale](https://netint.com/research/video/the-data-center-shift-power-supply-chains-and-video-at-scale/): Dell Technologies on data centers reshaped by AI and video growth, purpose-built silicon, power and cooling innovation, and supply chain resilience worldwide. - [The Building Blocks of Streaming: CMS, DAM, Transcoding & Distribution](https://netint.com/research/video/the-building-blocks-of-streaming-cms-dam-transcoding-distribution/): How modern streaming platforms are built. Arcadian's Joe Waltzer explains CMS, DAM, transcoding, distribution, and the complexity of video workflows. - [The Cloud Isn't Broken. The Economics Are | The Akamai VPU Play](https://netint.com/research/video/the-cloud-isnt-broken-the-economics-are-the-akamai-vpu-play/): Sarah Walter from Akamai on VPU cloud adoption after one year, why customers rethink cost models at scale, and hybrid infrastructure restoring economic control. - [What It Takes to Move 8K in Real Time | WebRTC Meets Hardware Reality](https://netint.com/research/video/what-it-takes-to-move-8k-in-real-time-webrtc-meets-hardware-reality/): Moving 8K over the open internet needs SDI ingest and realtime compression; NETINT VPUs offload processing when WebRTC hits hardware limits at production scale. - [Modernizing Security & Surveillance with ZoneMinder and NETINT VPUs](https://netint.com/research/video/modernizing-security-surveillance-with-zoneminder-and-netint-vpus/): ZoneMinder developer Isaac Connor on modernizing CCTV with open-source VMS, high-density decoding, and NETINT VPUs as camera counts and AV1 adoption grow. - [Is This the Future of Cloud Transcoding? VPU as a Service Model](https://netint.com/research/video/is-this-the-future-of-cloud-transcoding-vpu-as-a-service-model/): NetActuate CEO Mark Mahle on VPU as a Service via VMs, Kubernetes, and bare metal, giving teams dedicated encoding hardware without building data centers. - [The Future of Live Streaming: Insights on CDN Performance with Qwilt's Mark Fisher](https://netint.com/research/video/the-future-of-live-streaming-insights-on-cdn-performance-with-qwilts-mark-fisher-2/): As streaming-only live events become the new norm, Open Caching and edge streaming address the complexities of delivering these events in great quality. ## Categories - [Uncategorized](https://netint.com/research/blog/category/uncategorized/) - [Breaking News](https://netint.com/research/blog/category/breaking-news/) - [Cloud Gaming](https://netint.com/research/blog/category/cloud-gaming/) - [Low Latency](https://netint.com/research/blog/category/low-latency/) - [NETINT Blog](https://netint.com/research/blog/category/netint-blog/) - [Voices of Video](https://netint.com/research/blog/category/voices-of-video/) - [NETINT Blog|Streaming Infrastructure|Transcoding Hardware](https://netint.com/research/blog/category/netint-blogstreaming-infrastructuretranscoding-hardware/) - [AI|Transcoding Hardware](https://netint.com/research/blog/category/aitranscoding-hardware/) - [Cost Analysis|Power Consumption](https://netint.com/research/blog/category/cost-analysispower-consumption/) - [Cloud Gaming|Cost Analysis](https://netint.com/research/blog/category/cloud-gamingcost-analysis/) - [Cloud Gaming|ROI](https://netint.com/research/blog/category/cloud-gamingroi/) - [AV1|Codecs|NETINT Blog](https://netint.com/research/blog/category/av1codecsnetint-blog/) - [Case Study|Cost Analysis|NETINT Blog](https://netint.com/research/blog/category/case-studycost-analysisnetint-blog/) - [Cloud Gaming|NETINT Blog](https://netint.com/research/blog/category/cloud-gamingnetint-blog/) - [NETINT Blog|NETINT Transcoding Server](https://netint.com/research/blog/category/netint-blognetint-transcoding-server/) - [NETINT Blog|VPU - Video processing Unit](https://netint.com/research/blog/category/netint-blogvpu-video-processing-unit/) - [FFmpeg|NETINT Blog](https://netint.com/research/blog/category/ffmpegnetint-blog/) - [FFmpeg|NETINT Blog|VPU - Video processing Unit](https://netint.com/research/blog/category/ffmpegnetint-blogvpu-video-processing-unit/) - [NETINT Blog|Voices of Video](https://netint.com/research/blog/category/netint-blogvoices-of-video/) - [B-Frames|Low Latency](https://netint.com/research/blog/category/b-frameslow-latency/) - [Streaming|Voices of Video](https://netint.com/research/blog/category/streamingvoices-of-video/) - [Cloud Gaming|Voices of Video](https://netint.com/research/blog/category/cloud-gamingvoices-of-video/) - [NETINT Blog|Streaming Infrastructure](https://netint.com/research/blog/category/netint-blogstreaming-infrastructure/) - [NETINT Transcoding Server|Quadra Server|VPU - Video processing Unit](https://netint.com/research/blog/category/netint-transcoding-serverquadra-servervpu-video-processing-unit/) - [NETINT Blog|NETINT Symposium|Streaming Infrastructure|Voices of Video](https://netint.com/research/blog/category/netint-blognetint-symposiumstreaming-infrastructurevoices-of-video/) - [NETINT Symposium|Streaming Infrastructure](https://netint.com/research/blog/category/netint-symposiumstreaming-infrastructure/) - [Capped CRF|NETINT Blog](https://netint.com/research/blog/category/capped-crfnetint-blog/) - [NETINT Symposium|Transcoding Hardware](https://netint.com/research/blog/category/netint-symposiumtranscoding-hardware/) - [Quadra Server|Transcoding Hardware|VPU - Video processing Unit](https://netint.com/research/blog/category/quadra-servertranscoding-hardwarevpu-video-processing-unit/) - [IBC|NETINT Blog|Transcoding Hardware](https://netint.com/research/blog/category/ibcnetint-blogtranscoding-hardware/) - [NETINT Symposium|Software](https://netint.com/research/blog/category/netint-symposiumsoftware/) - [Breaking News|VPU - Video processing Unit](https://netint.com/research/blog/category/breaking-newsvpu-video-processing-unit/) - [Clients Onboarding|NETINT Blog](https://netint.com/research/blog/category/clients-onboardingnetint-blog/) - [Case Study|NETINT Symposium](https://netint.com/research/blog/category/case-studynetint-symposium/) - [AV1|Capped CRF|VPU - Video processing Unit](https://netint.com/research/blog/category/av1capped-crfvpu-video-processing-unit/) - [Green Video|NETINT Symposium|Sustainability](https://netint.com/research/blog/category/green-videonetint-symposiumsustainability/) - [NETINT Symposium|Partners|Streaming Infrastructure](https://netint.com/research/blog/category/netint-symposiumpartnersstreaming-infrastructure/) - [Cost Analysis|Streaming Infrastructure](https://netint.com/research/blog/category/cost-analysisstreaming-infrastructure/) - [Case Study|CDN|Voices of Video](https://netint.com/research/blog/category/case-studycdnvoices-of-video/) - [Transcoding Hardware|UGC|VPU - Video processing Unit](https://netint.com/research/blog/category/transcoding-hardwareugcvpu-video-processing-unit/) - [Virtualization|VPU - Video processing Unit](https://netint.com/research/blog/category/virtualizationvpu-video-processing-unit/) - [ASIC encoding|Case Study|Cost Analysis](https://netint.com/research/blog/category/asic-encodingcase-studycost-analysis/) - [ASIC encoding|Cost Analysis](https://netint.com/research/blog/category/asic-encodingcost-analysis/) - [Software|Streaming Infrastructure](https://netint.com/research/blog/category/softwarestreaming-infrastructure/) ## Tags - [AMD](https://netint.com/research/blog/tag/amd/) - [Layout A](https://netint.com/research/blog/tag/layout-a/) - [Data center|Data centers|datacenter|Layout A|StreamVX](https://netint.com/research/blog/tag/data-centerdata-centersdatacenterlayout-astreamvx/) - [Layout A|Quadra](https://netint.com/research/blog/tag/layout-aquadra/) - [ASIC|Economics of Transcoding|GPU-based transcoding|Layout A|NVIDIA T4|Quadra|VMAF](https://netint.com/research/blog/tag/asiceconomics-of-transcodinggpu-based-transcodinglayout-anvidia-t4quadravmaf/) - [ASIC Power consumption|ASIC-based performance|Google Argos|Layout A|Quadra](https://netint.com/research/blog/tag/asic-power-consumptionasic-based-performancegoogle-argoslayout-aquadra/) - [ASIC|Layout A|Quadra|T408](https://netint.com/research/blog/tag/asiclayout-aquadrat408/) - [ASIC|Layout A|Quadra](https://netint.com/research/blog/tag/asiclayout-aquadra/) - [Bitmovin|H.264|HEVC|Layout A|Quadra|VVC](https://netint.com/research/blog/tag/bitmovinh-264hevclayout-aquadravvc/) - [ASIC Power consumption|Layout A|power consumption|Quadra](https://netint.com/research/blog/tag/asic-power-consumptionlayout-apower-consumptionquadra/) - [Encoding ladder|FFmpeg|Layout A|Quadra](https://netint.com/research/blog/tag/encoding-ladderffmpeglayout-aquadra/) - [cloud gaming|cloud gaming technologies|Layout A|Quadra](https://netint.com/research/blog/tag/cloud-gamingcloud-gaming-technologieslayout-aquadra/) - [ASIC|Google Argos|Layout A|Quadra](https://netint.com/research/blog/tag/asicgoogle-argoslayout-aquadra/) - [ASIC|cloud gaming|cloud gaming technologies|Layout A|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asiccloud-gamingcloud-gaming-technologieslayout-amobile-cloud-gamingquadra/) - [ASIC|ASIC Power consumption|cloud gaming|Layout A|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asicasic-power-consumptioncloud-gaminglayout-amobile-cloud-gamingquadra/) - [ASIC|cloud gaming|cloud transcoding|Layout A|mobile cloud gaming|on-premise transcoding|Quadra](https://netint.com/research/blog/tag/asiccloud-gamingcloud-transcodinglayout-amobile-cloud-gamingon-premise-transcodingquadra/) - [ASIC|cloud gaming|Layout A|Logan Video Server|mobile cloud gaming|Quadra|T408](https://netint.com/research/blog/tag/asiccloud-gaminglayout-alogan-video-servermobile-cloud-gamingquadrat408/) - [Artificial Intelligence (AI)|ASIC|cloud gaming|cloud gaming technologies|Layout A|mobile cloud gaming|Quadra|Region of Interest Encoding|ROI](https://netint.com/research/blog/tag/artificial-intelligence-aiasiccloud-gamingcloud-gaming-technologieslayout-amobile-cloud-gamingquadraregion-of-interest-encodingroi/) - [ASIC|cloud gaming|HEVC|Layout A|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asiccloud-gaminghevclayout-amobile-cloud-gamingquadra/) - [ASIC|cloud gaming|CPU-based transcoding|Economics of Transcoding|Layout A|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asiccloud-gamingcpu-based-transcodingeconomics-of-transcodinglayout-amobile-cloud-gamingquadra/) - [ASIC|cloud gaming|cloud-gaming architecture|cloud-gaming economics|Layout A|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asiccloud-gamingcloud-gaming-architecturecloud-gaming-economicslayout-amobile-cloud-gamingquadra/) - [ASIC|cloud gaming|Economics of Transcoding|Google Argos|Layout A|Meta MSVP|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asiccloud-gamingeconomics-of-transcodinggoogle-argoslayout-ameta-msvpmobile-cloud-gamingquadra/) - [ASIC|cloud gaming|Google Argos|Layout A|Meta MSVP|mobile cloud gaming|Quadra|T408](https://netint.com/research/blog/tag/asiccloud-gaminggoogle-argoslayout-ameta-msvpmobile-cloud-gamingquadrat408/) - [ASIC|cloud gaming|Economics of Transcoding|Layout A|Logan server|mobile cloud gaming|Quadra|T408](https://netint.com/research/blog/tag/asiccloud-gamingeconomics-of-transcodinglayout-alogan-servermobile-cloud-gamingquadrat408/) - [ASIC|cloud gaming|CPU-based transcoding|Google Argos|GPU-based transcoding|Layout A|Meta MSVP|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asiccloud-gamingcpu-based-transcodinggoogle-argosgpu-based-transcodinglayout-ameta-msvpmobile-cloud-gamingquadra/) - [ASIC|CDN|cloud gaming|Layout A|mobile cloud gaming|Quadra|Realsprint](https://netint.com/research/blog/tag/asiccdncloud-gaminglayout-amobile-cloud-gamingquadrarealsprint/) - [ASIC|Blacknut|cloud gaming|cloud-gaming architecture|cloud-gaming economics|cost per concurrent user (CCU)|Layout A|mobile cloud gaming|Olivier Avaro|peer-to-peer DMA|Quadra](https://netint.com/research/blog/tag/asicblacknutcloud-gamingcloud-gaming-architecturecloud-gaming-economicscost-per-concurrent-user-cculayout-amobile-cloud-gamingolivier-avaropeer-to-peer-dmaquadra/) - [ASIC|B-frames|cloud gaming|Layout A|mobile cloud gaming|Quadra](https://netint.com/research/blog/tag/asicb-framescloud-gaminglayout-amobile-cloud-gamingquadra/) - [ASIC|Blacknut|cloud gaming|DRM|Encoding ladder|Layout A|mobile cloud gaming|Olivier Avaro|Quadra](https://netint.com/research/blog/tag/asicblacknutcloud-gamingdrmencoding-ladderlayout-amobile-cloud-gamingolivier-avaroquadra/) - [ASIC|Blacknut|cloud gaming|cloud-gaming architecture|cloud-gaming economics|Layout A|mobile cloud gaming|Olivier Avaro|Quadra](https://netint.com/research/blog/tag/asicblacknutcloud-gamingcloud-gaming-architecturecloud-gaming-economicslayout-amobile-cloud-gamingolivier-avaroquadra/) - [ASIC|Blacknut|cloud gaming|Layout A|mobile cloud gaming|Olivier Avaro|peer-to-peer DMA|Quadra|T2A](https://netint.com/research/blog/tag/asicblacknutcloud-gaminglayout-amobile-cloud-gamingolivier-avaropeer-to-peer-dmaquadrat2a/) - [ASIC|B-frames|Build Your Own Streaming Infrastructure - Software|Choosing a Transcoder|cloud gaming|colocation|Economics of Transcoding|Layout A|mobile cloud gaming|Quadra|transcoding software](https://netint.com/research/blog/tag/asicb-framesbuild-your-own-streaming-infrastructure-softwarechoosing-a-transcodercloud-gamingcolocationeconomics-of-transcodinglayout-amobile-cloud-gamingquadratranscoding-software/) - [ASIC|Economics of Transcoding|Layout A|Quadra|Quadra Server](https://netint.com/research/blog/tag/asiceconomics-of-transcodinglayout-aquadraquadra-server/) - [ASIC|Build Your Own Streaming Infrastructure - Software|Choosing a Transcoder|colocation|Economics of Transcoding|Layout A|Quadra|transcoding software](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarechoosing-a-transcodercolocationeconomics-of-transcodinglayout-aquadratranscoding-software/) - [ASIC|Build Your Own Streaming Infrastructure - Software|Choosing a Transcoder|colocation|Layout A|Quadra|transcoding software](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarechoosing-a-transcodercolocationlayout-aquadratranscoding-software/) - [ASIC|Build Your Own Streaming Infrastructure - Software|capped CRF|Content Adaptive Encoding (CAE)|Layout A|Quadra](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarecapped-crfcontent-adaptive-encoding-caelayout-aquadra/) - [ASIC|Build Your Own Streaming Infrastructure - Software|cloud transcoding|Layout A|Quadra|transcode on premise](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarecloud-transcodinglayout-aquadratranscode-on-premise/) - [ASIC|Build Your Own Streaming Infrastructure - Software|HESP|Layout A|Low-Latency DASH|Low-Latency HLS|Quadra|THEO Technologies|WebRTC](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarehesplayout-alow-latency-dashlow-latency-hlsquadratheo-technologieswebrtc/) - [ASIC|Build Your Own Streaming Infrastructure - Software|Layout A|Logan Video Server|Quadra|Quadra Video Server|T408](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarelayout-alogan-video-serverquadraquadra-video-servert408/) - [ASIC|Build Your Own Streaming Infrastructure - Software|capped CRF|Layout A|Logan Video Server|on-premise transcoding|peer-to-peer DMA|Quadra|Quadra Video Server](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarecapped-crflayout-alogan-video-serveron-premise-transcodingpeer-to-peer-dmaquadraquadra-video-server/) - [ASIC|Build Your Own Streaming Infrastructure - Software|Layout A|Quadra|transcoding software](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarelayout-aquadratranscoding-software/) - [ASIC|Build Your Own Streaming Infrastructure - Software|Layout A|Quadra|Streaming Media Server|transcoding software](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarelayout-aquadrastreaming-media-servertranscoding-software/) - [ASIC|Build Your Own Streaming Infrastructure - Software|gpac|Layout A|packaging software|Quadra|Romain Bouqueau|transcoding software](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwaregpaclayout-apackaging-softwarequadraromain-bouqueautranscoding-software/) - [ASIC|Build Your Own Streaming Infrastructure - Software|gpac|Layout A|Quadra|Romain Bouqueau|transcoding software](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwaregpaclayout-aquadraromain-bouqueautranscoding-software/) - [ASIC|Build Your Own Streaming Infrastructure - Software|capped CRF|gpac|H.264|HEVC|Layout A|Quadra|Romain Bouqueau](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarecapped-crfgpach-264hevclayout-aquadraromain-bouqueau/) - [ASIC|Build Your Own Streaming Infrastructure - Software|Explore AV1 Capped CRF Encoding on NETINT Quadra VPU: superior video quality|Layout A|NETINT customer onboarding|Quadra](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwareexplore-av1-capped-crf-encoding-on-netint-quadra-vpu-superior-video-qualitylayout-anetint-customer-onboardingquadra/) - [ASIC|Build Your Own Streaming Infrastructure - Software|CPU-based encoding|Economics of Transcoding|GPU-based encoding|Layout A|NVIDIA T4|on-premise transcoding|Quadra](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructure-softwarecpu-based-encodingeconomics-of-transcodinggpu-based-encodinglayout-anvidia-t4on-premise-transcodingquadra/) - [ASIC|Build Your Own Streaming Infrastructure|Co-lo|Co-location|colocation|Edgio|Kyle Faber|Layout A|Quadra](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructureco-loco-locationcolocationedgiokyle-faberlayout-aquadra/) - [ASIC|AV1 capped CRF|capped CRF|efficient bitrates|Explore AV1 Capped CRF Encoding on NETINT Quadra VPU: superior video quality|Layout A|Quadra](https://netint.com/research/blog/tag/asicav1-capped-crfcapped-crfefficient-bitratesexplore-av1-capped-crf-encoding-on-netint-quadra-vpu-superior-video-qualitylayout-aquadra/) - [ASIC|ASIC Power consumption|Build Your Own Streaming Infrastructure|Greening of Streaming|Layout A|LESS Accord|Quadra](https://netint.com/research/blog/tag/asicasic-power-consumptionbuild-your-own-streaming-infrastructuregreening-of-streaminglayout-aless-accordquadra/) - [ASIC|Build Your Own Streaming Infrastructure|Layout A|live streaming configuration|live-streaming|Quadra|smart VPU](https://netint.com/research/blog/tag/asicbuild-your-own-streaming-infrastructurelayout-alive-streaming-configurationlive-streamingquadrasmart-vpu/) - [ASIC|ASIC Power consumption|Build Your Own Streaming Infrastructure|cost analysis|CPU-based transcoding|Economics of Transcoding|GPU-based transcoding|Layout A|live-streaming|Quadra|smart VPU](https://netint.com/research/blog/tag/asicasic-power-consumptionbuild-your-own-streaming-infrastructurecost-analysiscpu-based-transcodingeconomics-of-transcodinggpu-based-transcodinglayout-alive-streamingquadrasmart-vpu/) - [ASIC|case study|Layout A|live-streaming|Quadra|Server](https://netint.com/research/blog/tag/asiccase-studylayout-alive-streamingquadraserver/) - [Layout A|live-streaming|Quadra|Server](https://netint.com/research/blog/tag/layout-alive-streamingquadraserver/) - [cloud gaming|Layout A|mobile cloud gaming|Netflix](https://netint.com/research/blog/tag/cloud-gaminglayout-amobile-cloud-gamingnetflix/) - [Quadra|UGC|User Generated Content](https://netint.com/research/blog/tag/quadraugcuser-generated-content/) - [api.video|Quadra](https://netint.com/research/blog/tag/api-videoquadra/) - [NVIDIA|Quadra](https://netint.com/research/blog/tag/nvidiaquadra/) - [Akamai|Edge computing](https://netint.com/research/blog/tag/akamaiedge-computing/) ## Series - [NETINT VPU ECOSYSTEM · IBC 2026](https://netint.com/series/netint-vpu-ecosystem-ibc-2026/) ## Format - [Blog](https://netint.com/research/blog/research/format/blog/) - [Podcast](https://netint.com/research/podcast/) - [Event](https://netint.com/research/event/) - [Press Release](https://netint.com/research/press-release/) - [Video](https://netint.com/research/video/) ## Technology - [FFmpeg](https://netint.com/research/blog/research/technology/ffmpeg/) - [GStreamer](https://netint.com/research/blog/research/technology/gstreamer/) - [IaaS](https://netint.com/research/blog/research/technology/iaas/) - [HLS](https://netint.com/research/blog/research/technology/hls/) - [DASH](https://netint.com/research/blog/research/technology/dash/) - [CRF](https://netint.com/research/blog/research/technology/crf/) - [VPUaaS](https://netint.com/research/blog/research/technology/vpuaas/) - [SaaS](https://netint.com/research/blog/research/technology/saas/) - [AI](https://netint.com/research/blog/research/technology/ai/) ## Codec - [AV1](https://netint.com/research/blog/research/codec/av1/) - [HEVC](https://netint.com/research/blog/research/codec/hevc/) - [H.264](https://netint.com/research/blog/research/codec/h-264/) - [VP9](https://netint.com/research/blog/research/codec/vp9/) - [LCEVC](https://netint.com/research/blog/research/codec/lcevc/) - [VVC](https://netint.com/research/blog/research/codec/vvc/) ## Application - [UGC/Social](https://netint.com/research/blog/research/application/ugc-social/) - [Security](https://netint.com/research/blog/research/application/security/) - [Cloud Gaming](https://netint.com/research/blog/research/application/cloud-gaming/) - [CDN](https://netint.com/research/blog/research/application/cdn/) - [Broadcast](https://netint.com/research/blog/research/application/broadcast/) - [Streaming](https://netint.com/research/blog/research/application/streaming/) - [Live](https://netint.com/research/blog/research/application/live/) - [AI](https://netint.com/research/blog/research/application/ai/) - [Live Sports](https://netint.com/research/blog/research/application/live-sports/) ## Intent - [Benchmark](https://netint.com/research/blog/research/intent/benchmark/) - [Tutorial](https://netint.com/research/blog/research/intent/tutorial/) - [Comparison](https://netint.com/research/blog/research/intent/comparison/) - [Explainer](https://netint.com/research/blog/research/intent/explainer/) - [Case Study](https://netint.com/research/blog/research/intent/case-study/) - [Use Case](https://netint.com/research/blog/research/intent/use-case/) ## Product - [T1U](https://netint.com/research/blog/research/product/t1u/) - [T1A](https://netint.com/research/blog/research/product/t1a/) - [T2A](https://netint.com/research/blog/research/product/t2a/) - [T1M](https://netint.com/research/blog/research/product/t1m/) - [T408](https://netint.com/research/blog/research/product/t408/) - [T432](https://netint.com/research/blog/research/product/t432/) - [Quadra Video Server](https://netint.com/research/blog/research/product/quadra-video-server/) - [Quadra Mini Server](https://netint.com/research/blog/research/product/quadra-mini-server/) - [Bitstreams](https://netint.com/research/blog/research/product/bitstreams/) ## Partner - [Akamai](https://netint.com/research/blog/research/partner/akamai/) - [Advantech](https://netint.com/research/blog/research/partner/advantech/) - [Arcadian](https://netint.com/research/blog/research/partner/arcadian/) - [Cires21](https://netint.com/research/blog/research/partner/cires21/) - [SCALSTRM](https://netint.com/research/blog/research/partner/scalstrm/) - [G&L](https://netint.com/research/blog/research/partner/gl/) - [i3D.net](https://netint.com/research/blog/research/partner/i3d-net/) - [Dell](https://netint.com/research/blog/research/partner/dell/) - [EasyTools](https://netint.com/research/blog/research/partner/easytools/) - [JetStream](https://netint.com/research/blog/research/partner/jetstream/) - [Misao Network](https://netint.com/research/blog/research/partner/misao-network/) - [Netinsight](https://netint.com/research/blog/research/partner/netinsight/) - [NetActuate](https://netint.com/research/blog/research/partner/netactuate/) - [V-Nova](https://netint.com/research/blog/research/partner/v-nova/) - [Wowza](https://netint.com/research/blog/research/partner/wowza/) - [Broadpeak](https://netint.com/research/blog/research/partner/broadpeak/) ## Event - [Voices of Video](https://netint.com/research/blog/research/event/voices-of-video/) - [NAB](https://netint.com/research/blog/research/event/nab/) - [IBC](https://netint.com/research/blog/research/event/ibc/) - [VPU Ecosystem](https://netint.com/research/blog/research/event/vpu-ecosystem/) - [SVTA](https://netint.com/research/blog/research/event/svta/)