# Neysa

> Neysa offers AI Acceleration Cloud System for fast training \& inference on GPUs—built on open source with full\-stack AI infrastructure\.

Generated by Yoast SEO v28.6, this is an llms.txt file, meant for consumption by LLMs.

## Pages
- [Tytan GPU Clusters](https://neysa.ai/gpu-cluster/)
- [Neysa Velocis](https://neysa.ai/neysa-velocis/)
- [AI Cloud Pricing](https://neysa.ai/pricing/)
- [Events](https://neysa.ai/events/)
- [Contact](https://neysa.ai/contact-us/)

## Alternative
- [10 Best Microsoft Azure Alternatives in India for AI and GPU Workloads \(2026 Updated List\)](https://neysa.ai/alternative/microsoft-azure-alternatives-in-india/)
- [13 Best GCP Alternatives in India for AI and GPU Workloads \(2026 Updated List\)](https://neysa.ai/alternative/gcp-alternatives-in-india/)
- [13 Best AWS Alternatives in India for AI and GPU Workloads \(2026 Updated List\)](https://neysa.ai/alternative/aws-alternatives-in-india/)
- [Top 5 Hyperscaler Alternatives in India for AI and GPU Workloads \(2026 Updated\)](https://neysa.ai/alternative/hyperscaler-alternatives-in-india/)

## Case Studies
- [How IISc Bengaluru fine\-\<br\>tuned vision models to read\<br\>hand\-drawn sketches](https://neysa.ai/case-studies/iisc-bengaluru/): Hand\-drawn sketches have always been a blind spot for vision models\. Neysa Velocis gave IISc Bangalore the compute headroom to close the gap with O3SLM, an open\-weight model fine\-tuned from LLaVA\-v1\.5 at 7B and 13B and accepted at AAAI 2026\.
- [ITQ brings transparency and trust to airline ticket change and cancellation charges with production AI](https://neysa.ai/case-studies/itq/): How ITQ achieved deterministic performance and cut infrastructure spend by 40% while running 141 billion monthly tokens on Neysa’s managed Qwen endpoints\.
- [Jocata powers credit, fraud, and compliance decisions with AI](https://neysa.ai/case-studies/jocata/): Jocata runs a fleet of AI agents across underwriting, document processing, credit assessment, and fraud checks for India's banks and lenders on Neysa Velocis\.
- [How TIFIN cut GPU cloud spend by 65% while scaling its AI solutions for India's biggest financial institutions](https://neysa.ai/case-studies/tifin/): See how TIFIN runs production AI workloads for India's largest mutual funds and wealth management firms on the Velocis AI PaaS Platform\.
- [How Innoviti engineered a 60% TCO reduction in field support operations with custom multimodal AI](https://neysa.ai/case-studies/innoviti/): See how Innoviti deployed Qwen 3\.0 VL to automate maintenance audits across 50,000 merchants, delivering 96% verification accuracy and sub 30s report processing time\.

## Compare
- [H200 vs B200: What You Actually Need to Know in 2026](https://neysa.ai/compare/h200-vs-b200/)
- [NVIDIA H100 vs B200: the specs, the benchmarks, and what actually lands on your bill](https://neysa.ai/compare/h100-vs-b200/)
- [​Azure vs AWS vs GCP​: Which Platform Fits Your Team Best?](https://neysa.ai/compare/azure-vs-aws-vs-gcp/)
- [DigitalOcean vs GCP: Complete Comparison Guide for AI \& Machine Learning Teams](https://neysa.ai/compare/digitalocean-vs-gcp/)
- [H200 vs A100: What You Actually Need to Know in 2026](https://neysa.ai/compare/h200-vs-a100/)

## Events
- [Neysa at Cypher 2026](https://neysa.ai/events/conferences/neysa-at-cypher-2026/): Neysa is the AI Cloud Partner at Cypher 2026\. Visit Booth 3 at KTPO, Bengaluru, 7 to 9 October, for live Neysa Velocis demos and book a meeting with the team\.
- [Neysa at MindTech 2026](https://neysa.ai/events/conferences/neysa-at-mindtech-2026/): Neysa is the Founding Sponsor of MindTech 2026, the two\-day summit on mental health in the age of AI, hosted by TANUH at the Indian Institute of Science, Bengaluru\. Find us at Booth A2 in the showcase on both days\.
- [Singapore SuperAI Week 2026](https://neysa.ai/events/conferences/singapore-superai-week-2026/): Neysa brought India's AI cloud to SuperAI Singapore 2026, showing Velocis to global AI teams at Booth MB22, Marina Bay Sands\.
- [Data \& Gen AI Summit 2026, Delhi](https://neysa.ai/events/conferences/data-and-genai-summit-delhi-2026/): Neysa joined the Delhi leg of the Data \& Gen AI Summit 2026, with Velocis demos on the floor and our CRO on the main stage\.
- [Neysa at Data \& Gen AI Summit 2026, Bengaluru](https://neysa.ai/events/conferences/data-and-genai-summit-bengaluru-2026/): Neysa met Bengaluru's AI builders at the Data \& Gen AI Summit 2026, with live Velocis demos and a main\-stage talk from our CRO\.

## Packages
- [Entry\-Level AI \<br\> \<span\> \(H100 Fractional \- 10GB\) \</span\>](https://neysa.ai/package/entry-level-ai-h100-fractional-10gb/)
- [Mid\-Tier AI \<br\> \<span\> \(L4 – 24GB\) \</span\>](https://neysa.ai/package/mid-tier-ai-l4-24gb/)
- [Enterprise AI  \<br\> \<span\> \(L40S – 48GB\) \</span\>](https://neysa.ai/package/enterprise-ai-l40s-48gb/)
- [Advanced AI \<br\> \<span\>\(H100 Fractional – 40GB\) \</span\>](https://neysa.ai/package/advanced-ai-h100-fractional-40gb/)

## Podcasts
- [When The Chips Are Down ft\. Pranay Kotasthane of Takshashila Institution](https://neysa.ai/podcast/when-the-chips-are-down-ft-pranay-kotasthane-of-takshashila-institution/)
- [Power of Focus in the Age of AI ft\. Aravind Jayendran of LatentForce](https://neysa.ai/podcast/power-of-focus-in-the-age-of-ai-ft-aravind-jayendran-of-latentforce/)
- [The Multimodal Audit Brain Behind 50,000 Stores ft\. Girish Varadarajan of Innoviti](https://neysa.ai/podcast/the-multimodal-audit-brain-behind-50000-stores-ft-girish-varadarajan-of-innoviti/)
- [The Do Engine ft\. Rakesh Vaddadi of Beacon\.li](https://neysa.ai/podcast/the-do-engine-ft-rakesh-vaddadi-of-beacon-li/)
- [Building Sovereign AI for a Billion People Ft\. Rishi Bal of BharatGen](https://neysa.ai/podcast/building-sovereign-ai-for-a-billion-people-ft-rishi-bal-of-bharatgen/)

## Press Releases
- [Mavenir and Neysa Partner to Bring AI\-Native Infrastructure to Operators, Enterprises, and Neoclouds](https://neysa.ai/press-release/mavenir-and-neysa-partner-to-bring-ai-native-infrastructure-to-operators-enterprises-and-neoclouds/)
- [Neysa Raises $30 Million in Series A Funding co\-led by Nexus Venture Partners, NTTVC and Z47 to Accelerate GenAI Adoption](https://neysa.ai/press-release/neysa-raises-30m-dollars-series-a-to-scale-and-accelerate-gen-ai-adoption/)
- [Neysa Gives Indian Organizations Full Control Over Their AI Environments by moving to open\-weights, transparent models](https://neysa.ai/press-release/neysa-empowers-india-with-open-weight-sovereign-ai-control/)
- [Neysa Raises $20 Million in Seed Funding to Accelerate Generative AI Adoption for Enterprises](https://neysa.ai/press-release/neysa-raises-20-million-in-seed-funding-to-accelerate-generative-ai-adoption-for-enterprises/)
- [Neysa brings veteran business technology leader Anup Purohit on board as Strategic Advisor](https://neysa.ai/press-release/neysa-appoints-anup-purohit-strategic-advisor/)

## White Papers
- [AI Adoption Journey with Neysa](https://neysa.ai/white-paper/ai-adoption-journey-with-neysa/): AI adoption isn’t a straight line\. Most teams learn that the hard way\. This guide reveals how leading enterprises move from first experiments to AI at scale—without getting stuck, burned out, or buried in complexity\.
- [AI Unleashed \- Cutting Costs, Accelerating Innovation and Scaling Smart with Neocloud](https://neysa.ai/white-paper/ai-unleashed-cutting-costs-accelerating-innovation-and-scaling-smart-with-neocloud/): Your AI strategy looks ambitious\. Your cloud bill tells another story\. This white paper dives into the hidden inefficiencies throttling enterprise AI
- [LLMs at Scale for Fast API Gateways](https://neysa.ai/white-paper/llms-at-scale-for-fast-api-gateways/): 500 learners, teaching assistants and faculty needed shared, internet\-accessible access to two open\-weight models across an active curriculum\. ~20 concurrent users at any time would spike around deadlines and live sessions\. Every user needed traceable identity and on\-demand key revocation\. The entire stack had to fit on one 48 GB GPU, maintain sub\-10\-second latency for live use, and stay simple enough for a small ops team to troubleshoot and recover without vendor tools or database migrations\.
- [Solving for Fragmented Systems in Voice AI](https://neysa.ai/white-paper/solving-for-fragmented-systems-in-voice-ai/): AI adoption isn’t a straight line\. Most teams learn that the hard way\. This guide reveals how leading enterprises move from first experiments to AI at scale—without getting stuck, burned out, or buried in complexity\.

## Blogs
- [GPU as a Service \(GPUaaS\): Definition, Benefits \& Top Providers \[2026\]](https://neysa.ai/blog/gpu-as-a-service/): The landscape of GPU renting has shifted from training to inference, with Gartner predicting 55% of AI infrastructure spending in 2026 will focus on inference needs\. GPU as a Service \(GPUaaS\) offers scalable, cost\-effective access to GPU computing, catering to various workloads\. Pricing models vary, accommodating operational demands and dynamic usage\.
- [If vLLM already solved LLM serving, why did SGLang appear?](https://neysa.ai/blog/if-vllm-already-solved-llm-serving-why-did-sglang-appear/): The emergence of vLLM improved GPU utilization for AI model serving, addressing issues like memory fragmentation\. However, as workloads evolved towards complex multi\-turn interactions, SGLang was developed to optimize prefix caching, reducing unnecessary computations\. This ensures higher efficiency, lower latency, and reliable structured outputs such as JSON, enhancing modern AI applications\.
- [Why is SGLang booming if vLLM already exists?](https://neysa.ai/blog/why-is-sglang-booming-if-vllm-already-exists/): SGLang and vLLM are two tools developed to enhance the efficiency of using open\-source AI models\. While vLLM addresses resource wastage in AI model hosting, SGLang improves response times by minimizing repetition in processing requests\. Here's a read to help you decide which one is better\. 
- [vLLM Solved the Wrong Bottleneck… and That’s Why It Won](https://neysa.ai/blog/vllm-solved-the-wrong-bottleneck-and-thats-why-it-won/): This blog discusses inefficiencies in GPU utilization for language model serving due to memory management issues, notably the KV cache\. It highlights five core problems that impact throughput and proposes solutions\. 
- [vLLM or SGLang? Here’s the actual decision guide\.](https://neysa.ai/blog/vllm-vs-sglang/): Continuing the series, this one compares between two inference engines, SGLang and vLLM, and provides guidance on choosing the right one based on project requirements\. Use this as guide to drive your decisions\.

## Categories
- [Uncategorized](https://neysa.ai/category/uncategorized/)
- [Product Management](https://neysa.ai/category/product-management/)
- [Business Development \& Alliances](https://neysa.ai/category/business-development-alliances/)

## Cities
- [Bengaluru](https://neysa.ai/events-cities/bengaluru/)
- [New Delhi](https://neysa.ai/events-cities/new-delhi/)
- [Mumbai](https://neysa.ai/events-cities/mumbai/)

## Events Category
- [Conferences \& Summits](https://neysa.ai/events-category/conferences/)
- [Panels \& Roundtables](https://neysa.ai/events-category/panels-roundtables/)
- [Webinars](https://neysa.ai/events-category/webinars/)

## Events Tags
- [In\-Person](https://neysa.ai/events-tags/in-person/)
- [On\-demand](https://neysa.ai/events-tags/on-demand/)

## Optional
- [Sitemap index](https://neysa.ai/sitemap_index.xml)