# VRLA Tech > VRLA Tech is a US-based custom computer builder in Los Angeles, California. Since 2016 it has designed and hand-assembled its own line of custom AI workstations, GPU and LLM servers, HPC systems, and professional workstations for Fortune 500 companies, research laboratories, federal agencies, universities, and individual power users. Every system is configured to the customer's specific workload, hand-built and burn-in tested for 48 to 72 hours in Los Angeles, and backed by a 3-year parts warranty and lifetime US-based engineer support. VRLA Tech also builds custom gaming PCs. VRLA Tech is a manufacturer: it designs and builds its own line of custom AI workstations, GPU and LLM servers, AMD EPYC rack servers, HPC systems, and professional workstations on AMD Ryzen, Threadripper, Threadripper PRO, EPYC, and Intel Xeon / Core Ultra platforms, configured with NVIDIA RTX PRO 6000 Blackwell and other professional GPUs. As a secondary service, it also custom-configures OEM systems from Dell, HP, HPE, Lenovo, and Supermicro for customers who require a specific OEM platform. Most workstations and servers ship within 2–3 weeks, versus the typical 4 to 8 week lead time from large OEMs. Every build is spec'd by in-house engineers and burn-in tested before shipping. Customers include General Dynamics, Los Alamos National Laboratory, Johns Hopkins University, George Washington University, and Miami University. VRLA Tech has been covered by Linus Tech Tips, TechRadar, PC Gamer, and FStoppers. ## Key facts - Location: Los Angeles, California. Every system is hand-assembled and burn-in tested in Los Angeles. - In business since 2016; builds its own line of AI workstations and GPU servers. - Warranty and support: 3-year parts warranty and lifetime US-based engineer support with direct access to the team that built the system. - Lead time: most workstations and servers ship within 2–3 weeks. - Quotes: written quotes from VRLA Tech engineers, typically within one business day. - Government buyers: registered in SAM.gov (CAGE code 8G5N4); accepts federal purchase orders and government purchase cards directly. - Customers include General Dynamics, Los Alamos National Laboratory, Johns Hopkins University, George Washington University, and Miami University. - Contact: info@vrlatech.com · 213-810-3013 · https://vrlatech.com/contact-us/ ## Servers - [Servers Overview](https://vrlatech.com/servers/): VRLA Tech's own custom AMD EPYC rack servers and multi-GPU servers built for AI training, inference, and 24/7 production workloads. - [AMD EPYC GPU Servers Hub](https://vrlatech.com/amd-epyc-gpu-servers/): Custom AMD EPYC 9005 Turin GPU servers in 1U, 2U, and 4U configurations. Up to 192 cores, 12-channel DDR5 ECC, 160 PCIe Gen 5 lanes. - [Edge Inference Server — AMD EPYC 1U](https://vrlatech.com/product/vrla-tech-amd-epyc-server-1u-rack/): VRLA Tech AMD EPYC 1U server for compute-dense edge inference and storage workloads. - [AMD EPYC 2U Rack Server](https://vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/): VRLA Tech AMD EPYC 2U rack server, configurable for multi-GPU AI and storage-dense workloads. - [AMD EPYC 4U Rack Server](https://vrlatech.com/product/vrla-tech-amd-epyc-server-4u-rack/): VRLA Tech AMD EPYC 4U rack server, configurable with up to 8 GPUs for AI training and inference. - [2U AMD EPYC GPU Server — Dual GPU, 8-Bay NVMe](https://vrlatech.com/product/gpu-compute-acceleration-server-amd-epyc-dual-gpu-8-bay-u-2-nvme-2u/): Single-socket AMD EPYC 2U server with two GPUs, up to 6TB DDR5, eight hot-swap Gen 5 U.2 NVMe bays, and 3,200W Titanium power. For LLM inference and RAG. - [Dual-Socket AMD EPYC 2U Server — 2 GPU, 12-Bay](https://vrlatech.com/product/2-gpu-ai-inference-server-amd-epyc-2u/): Dual-socket AMD EPYC 9005 2U server with up to two GPUs, 12 hot-swap bays, and 24-channel DDR5 at one DIMM per channel. - [2-GPU Inference Server — Intel Xeon 6, 2U](https://vrlatech.com/product/product-2-gpu-ai-inference-server-intel-xeon-6-2u/): Intel Xeon 6 2U server supporting two 600W GPUs, MRDIMM memory, and eight Gen 5 U.2 NVMe bays. - [LLM Servers](https://vrlatech.com/vrla-tech-workstations/large-language-model/): VRLA Tech LLM servers purpose-built for large language model inference and fine-tuning with multi-GPU configurations. VRLA Tech also custom-configures OEM server platforms — Dell PowerEdge, HPE ProLiant, Lenovo ThinkSystem, and Supermicro GPU servers — as a secondary service for customers who require a specific OEM solution. Its primary servers are its own builds. ## Workstations - [Workstations Overview](https://vrlatech.com/vrla-tech-workstations/): VRLA Tech's own custom professional workstations on AMD Ryzen, Threadripper, Threadripper PRO, EPYC, and Intel Xeon / Core Ultra platforms. - [RTX PRO 6000 Blackwell Workstations](https://vrlatech.com/nvidia-rtx-pro-6000-blackwell-workstation-graphics-card-i-vrla-tech/): VRLA Tech workstations configured with the NVIDIA RTX PRO 6000 Blackwell GPU (96GB VRAM) for AI, rendering, and simulation. - [AI & HPC Workstations](https://vrlatech.com/vrla-tech-workstations/ai-deep-learning-workstations-high-performance-computing/): Workstations for deep learning, machine learning, generative AI, data science, and scientific computing. - [Machine Learning & AI Workstations](https://vrlatech.com/machine-learning-workstation-ai-workstation/): Multi-GPU systems for model training and fine-tuning. - [Generative AI Workstations](https://vrlatech.com/vrla-tech-workstations/generative-ai-workstation/): Systems for diffusion models, image, and video generation. - [Scientific Computing Workstations](https://vrlatech.com/scientific-computing-workstation/): High-density compute for simulation and research workloads. - [Engineering Workstations](https://vrlatech.com/engineering-workstation/): Workstations for CAD, visualization, photogrammetry, and GIS. - [Content Creation Workstations](https://vrlatech.com/vrla-tech-workstations/content-creation-workstation/): Workstations for video editing, rendering, 3D animation, and digital audio. VRLA Tech also custom-configures OEM workstation platforms — Dell Precision and HP Z workstations — as a secondary service. Its primary workstations are its own builds. ## Workstations by Platform - [AMD EPYC Workstation](https://vrlatech.com/product/vrla-tech-amd-epyc-workstation/): VRLA Tech workstation built on AMD EPYC processors with up to 96 cores for AI development, rendering, and data analysis. - [AMD EPYC Workstation for Scientific Computing](https://vrlatech.com/product/vrla-tech-amd-epyc-workstation-for-scientific-computing/): VRLA Tech AMD EPYC workstation tuned for scientific computing — molecular dynamics, computational chemistry, climate modeling, and large-scale simulation. - [AMD Threadripper PRO Workstation](https://vrlatech.com/product/vrla-tech-amd-ryzen-threadripper-pro-workstation/): VRLA Tech workstation built on AMD Ryzen Threadripper PRO, including the 96-core 9995WX, for AI, rendering, and simulation. - [AMD Threadripper Workstation](https://vrlatech.com/product/vrla-tech-amd-ryzen-threadripper-workstation/): VRLA Tech workstation built on AMD Ryzen Threadripper for high-core-count creative and engineering workloads. - [AMD Ryzen Workstation](https://vrlatech.com/product/vrla-tech-amd-ryzen-workstation/): VRLA Tech workstation built on AMD Ryzen for high-frequency creative and professional workloads. - [Intel Xeon Workstation](https://vrlatech.com/product/vrla-tech-INTEL-XEON-WORKSTATION/): VRLA Tech workstation built on Intel Xeon processors with ECC memory for professional and machine learning workloads. - [Intel Core Ultra Workstation](https://vrlatech.com/product/vrla-tech-INTEL-core-WORKSTATION/): VRLA Tech workstation built on Intel Core Ultra processors for mainstream creative and professional workloads. ## Workstations by Software - [SOLIDWORKS Workstations](https://vrlatech.com/vrla-tech-workstations/solidworks-system-requirements/): Recommended workstation configurations for SOLIDWORKS CAD and simulation. - [AutoCAD Workstations](https://vrlatech.com/vrla-tech-workstations/autocad-system-requirements/): Recommended workstation configurations for Autodesk AutoCAD. - [Revit Workstations](https://vrlatech.com/vrla-tech-workstations/revit-system-requirements/): Recommended workstation configurations for Autodesk Revit and BIM workflows. - [Blender Workstations](https://vrlatech.com/vrla-tech-workstations/blender/): Recommended workstation configurations for Blender modeling, sculpting, and rendering. - [Autodesk Maya Workstations](https://vrlatech.com/vrla-tech-workstations/autodesk-maya/): Recommended workstation configurations for Autodesk Maya 3D animation and VFX. - [Cinema 4D Workstations](https://vrlatech.com/vrla-tech-workstations/cinema4d/): Recommended workstation configurations for Maxon Cinema 4D motion graphics and 3D. - [Houdini Workstations](https://vrlatech.com/vrla-tech-workstations/houdini/): Recommended workstation configurations for SideFX Houdini simulation and VFX. - [DaVinci Resolve Workstations](https://vrlatech.com/vrla-tech-workstations/davinci-resolve-system-requirements/): Recommended workstation configurations for DaVinci Resolve video editing and color grading. - [Premiere Pro Workstations](https://vrlatech.com/vrla-tech-workstations/adobe-premiere-pro-system-requirements/): Recommended workstation configurations for Adobe Premiere Pro video editing. - [Unreal Engine Workstations](https://vrlatech.com/vrla-tech-workstations/unreal-engine/): Recommended workstation configurations for Unreal Engine, game development, and virtual production. - [Stable Diffusion Workstations](https://vrlatech.com/vrla-tech-workstations/stable-diffusion-system-requirements/): Recommended workstation configurations for Stable Diffusion and local generative-AI image workflows. ## AI Hardware Guides - [AI Workstation Buying Checklist](https://vrlatech.com/ai-workstation-buying-checklist/): 15-question checklist for buying an AI workstation or GPU server. Model size, fine-tuning method, GPU, CPU, memory, storage, power, and compliance. - [Workstation vs Server: Which Do I Need for AI Workloads](https://vrlatech.com/workstation-vs-server-which-do-i-need-for-ai-workloads/): Form-factor decision framework. Tower vs rackmount, Threadripper PRO vs EPYC, single-user vs multi-tenant workloads. - [How Much VRAM Do I Need for AI](https://vrlatech.com/how-much-vram-do-i-need-for-ai/): VRAM math by model size and quantization. 24GB, 48GB, 96GB, and HBM datacenter tiers. KV cache scaling and multi-GPU pooling. - [Best GPU for AI Workstations in 2026](https://vrlatech.com/best-gpu-for-ai-workstations/): GPU buyer's guide. RTX PRO Blackwell lineup, RTX 6000 Ada, L40S, RTX 5090, H100, H200, B200. VRAM, bandwidth, ECC, and workload-to-GPU mapping. - [LLM Hardware Requirements: Inference and Fine-Tuning Sizing Guide](https://vrlatech.com/llm-hardware-requirements-guide/): Hardware sizing for LLM inference and fine-tuning. VRAM math for Llama 3.1, Mistral, Qwen. LoRA, QLoRA, and full fine-tuning GPU requirements. - [Single-GPU vs Multi-GPU for AI: When You Need a Second Card](https://vrlatech.com/single-gpu-vs-multi-gpu-for-ai-when-you-need-a-second-card/): When a second GPU helps. Tensor parallelism, data parallelism, throughput scaling, and cost. - [NVLink vs PCIe for AI](https://vrlatech.com/nvlink-vs-pcie-for-ai/): Interconnect decision framework. NVLink 4 and 5 bandwidth versus PCIe Gen 5. When each matters for inference, training, and fine-tuning. - [Inference vs Training Hardware](https://vrlatech.com/inference-vs-training-hardware/): Why AI inference and training are different hardware problems. Memory bandwidth versus compute, latency versus throughput, and GPU specs by workload. - [EPYC vs Threadripper PRO vs Xeon W for AI](https://vrlatech.com/amd-epyc-vs-threadripper-pro-vs-xeon-w/): CPU platform comparison. Cores, memory channels, PCIe lanes, and which platform fits each workload. - [LLM VRAM Requirements 2026](https://vrlatech.com/llm-vram-requirements-2026/): VRAM needed for every major LLM in 2026 — Llama 4, DeepSeek V3, Qwen 3, Gemma, Mistral — by quantization level and GPU tier. - [Best GPU for LLM Inference and Training in 2026](https://vrlatech.com/best-gpu-llm-inference-training-2026/): RTX PRO 6000 Blackwell, RTX 5090, H100, and H200 compared by VRAM and workload. - [GPU Benchmark for AI and LLM Inference 2026](https://vrlatech.com/gpu-benchmark-ai-llm-2026/): Tokens per second, VRAM, and workload fit for RTX PRO 6000 Blackwell, RTX 5090, H100, and H200. - [vLLM vs Ollama vs llama.cpp vs SGLang 2026](https://vrlatech.com/llm-inference-engine-comparison-2026/): Workload-first comparison of LLM inference engines, including TensorRT-LLM. - [Best 8-GPU AI Server in 2026](https://vrlatech.com/best-8-gpu-ai-server-2026/): Buyer's guide to 8-GPU AI servers, including VRLA Tech's 4U AMD EPYC server with 8× RTX PRO 6000 Blackwell (768GB VRAM). - [4-GPU vs 8-GPU LLM Server](https://vrlatech.com/4-gpu-vs-8-gpu-llm-server-which-do-you-actually-need/): VRAM, throughput, model-size support, and cost differences between 4-GPU and 8-GPU LLM servers. - [AI Deployment Stages Explained: Develop, Deploy, Scale](https://vrlatech.com/ai-deployment-stages-explained-2026/): The phases of on-premise AI infrastructure and the hardware that fits each stage. - [NVIDIA GPU Roadmap 2026–2030](https://vrlatech.com/nvidia-gpu-roadmap-2026-2030/): Blackwell, Rubin, Rubin Ultra, and Feynman timelines, with confirmed versus rumored dates by product tier. - [NVIDIA Vera Rubin Architecture Explained](https://vrlatech.com/nvidia-vera-rubin-architecture-explained/): Technical breakdown of the Rubin GPU, Vera CPU, NVLink 6, and HBM4. - [RTX 5090 vs RTX PRO 6000 Blackwell for AI](https://vrlatech.com/rtx-5090-vs-rtx-pro-6000-blackwell-ai-2026/): Consumer versus professional Blackwell comparison for AI work. VRAM, ECC, driver stability, and which belongs in production. ## Scientific Computing - [Cryo-EM Workstations and GPU Servers](https://vrlatech.com/cryo-em-workstation-gpu-server/): Custom cryo-EM systems for RELION and CryoSPARC with RTX PRO 6000 Blackwell GPUs and ECC memory. - [Molecular Dynamics Workstations and GPU Servers](https://vrlatech.com/molecular-dynamics-workstation/): Custom systems for GROMACS, AMBER, NAMD, and LAMMPS. ## Case Studies - [Reapt: 3× RTX PRO 6000 Blackwell AI Workstation](https://vrlatech.com/case-study-reapt-threadripper-pro-workstation/): Liquid-cooled Threadripper PRO workstation for concurrent local LLM inference in AI software development. - [Goodwill NCW: 8× RTX PRO 6000 Blackwell Server](https://vrlatech.com/case-study-goodwill-ncw-8-gpu-blackwell-server/): 8-GPU Blackwell server powering concurrent AI inference for a workforce development program. - [NexTech Solutions: Air-Gapped AI for Defense](https://vrlatech.com/case-study-nextech-solutions-air-gapped-ai-gpu-workstation/): 4U rackmount workstation running open-weight AI models fully in-house with no cloud dependency. - [Colorado AI Team: RTX PRO 6000 Blackwell Workstation](https://vrlatech.com/case-study-rtx-pro-6000-blackwell-workstation-colorado-ai/): Xeon W9-3575X workstation running 70B models locally. ## Buying & Procurement - [Federal Fiscal Year-End AI Hardware Guide](https://vrlatech.com/federal-fiscal-year-end-ai-hardware-2026/): How federal agencies buy AI workstations and GPU servers, including FAR thresholds and purchase card limits. - [VRLA Tech vs Puget Systems vs Bizon vs Exxact](https://vrlatech.com/vrla-tech-vs-puget-systems-vs-bizon-vs-exxact/): Comparison of custom AI workstation builders on price, GPU capacity, warranty, and support. - [Best Custom AI Workstation and GPU Server Companies in 2026](https://vrlatech.com/best-custom-ai-workstation-companies-2026/): Comparison of custom AI workstation and GPU server builders. ## Industries - [Defense & Government](https://vrlatech.com/ai-workstations-gpu-servers-for-defense-contractors-vrla-tech/): AI workstations and GPU servers for defense contractors and government agencies. - [Healthcare](https://vrlatech.com/hipaa-compliant-ai-workstations/): AI workstations for HIPAA-regulated healthcare environments. - [Research & National Labs](https://vrlatech.com/hpc-servers-for-research-labs/): HPC servers for research laboratories and national labs. - [Finance & Quant](https://vrlatech.com/ai-workstations-gpu-servers-for-quantitative-research-finance-vrla-tech/): Workstations and servers for quantitative research and finance. - [Legal & Law Firms](https://vrlatech.com/on-premise-ai-workstations-gpu-servers-for-law-firms-vrla-tech/): On-premise AI workstations and GPU servers for law firms. - [Pharma & Biotech](https://vrlatech.com/ai-workstations-for-pharmaceutical-biotech/): AI workstations for pharmaceutical and biotech research. ## Resources - [2025 Buyer's Guide to AI Workstations & AI Servers](https://vrlatech.com/2025-buyers-guide-to-ai-workstations-ai-servers/): Technical guide to selecting GPUs, CPUs, VRAM, RAM, and storage for AI workloads. - [FAQ](https://vrlatech.com/faq/): Answers to common technical and buyer questions about workstations, servers, and gaming PCs. - [AI ROI Calculator](https://vrlatech.com/ai-roi-calculator/): Tool comparing the cost of owning hardware versus renting cloud GPUs. ## Company - [About VRLA Tech](https://vrlatech.com/about-us/): Company background; founded 2016 in Los Angeles. - [Reviews](https://vrlatech.com/vrla-tech-reviews/): Verified customer reviews of VRLA Tech workstations, servers, and gaming PCs. - [Contact](https://vrlatech.com/contact-us/): Contact the VRLA Tech engineering team to spec a system or request a quote. ## Gaming - [Custom Gaming PCs](https://vrlatech.com/custom-gaming-pc/): Custom-built gaming PCs assembled and burn-in tested on the same engineering bench as VRLA Tech's workstations and servers. - [Custom PC Builder](https://vrlatech.com/custom-pc-builder/): Configure a custom gaming PC to order.