Neysa is an India-focused AI acceleration cloud platform. Its Velocis system combines GPU-as-a-Service, AI Platform-as-a-Service, inference, MLOps, monitoring and enterprise AI security for teams building production AI workloads.
Neysa is India's first fully AI-focused cloud platform - a "neocloud" founded in 2023 and headquartered in Mumbai. Co-founded by Sharad Sanghi (who previously built Netmagic into India's largest data center company before its NTT acquisition) and Anindya Das, Neysa is designed from the ground up for AI and machine learning workloads, not retrofitted from a general-purpose cloud.
Its flagship product, Neysa Velocis, is a full-stack AI Acceleration Cloud System combining GPU-as-a-Service, AI Platform-as-a-Service, Inference-as-a-Service, Orchestration & MLOps, and the proprietary Aegis LLM Shield - a security layer purpose-built for enterprise AI governance. The platform supports fractional GPU billing, spot-aware scheduling, per-minute billing, and pre-configured AI stacks including PyTorch, TensorFlow, and Hugging Face.
In 2026, Neysa announced funding of over $1 billion, with Blackstone reported as a major backer. The capital is aimed at expanding AI cloud infrastructure and GPU capacity for Indian enterprises, AI-native startups and regulated workloads. Because valuation and funding details can change, buyers should verify the latest corporate information from Neysa's official newsroom or trusted business sources.
Neysa targets enterprises, regulated sectors, AI-native startups and research institutions that need high-performance GPU compute, AI-native tooling, Indian deployment context and managed support. It sits at a higher-service tier compared to self-serve GPU clouds because it bundles infrastructure, platform services, observability and AI governance tooling into one stack.
Neysa is best suited for enterprises, AI-native startups, BFSI teams, research labs and product teams that want more than raw GPU rental. The platform is useful when a team needs GPU infrastructure, managed AI tooling, inference endpoints, Kubernetes orchestration, monitoring and AI security from one provider.
Cost-sensitive teams that only need basic VPS hosting or self-serve GPU instances should still compare Neysa with E2E Networks, AceCloud, Utho and other cloud providers. Neysa's strongest fit is production AI, managed MLOps, enterprise governance and India-focused AI infrastructure rather than simple commodity compute.
Neysa is a private AI cloud company. It does not have a public stock ticker or public share price as of this page update, so searches for Neysa AI share price, Neysa AI stock or Neysa AI share price target should be verified through official company announcements, regulatory filings or trusted financial sources.
Public reporting and Neysa's own website point to funding of over $1 billion and Blackstone backing. These signals make Neysa important to track in India's AI cloud market, but this page does not provide investment advice, valuation forecasts or share price targets.
Neysa publishes starting USD rates for Velocis AI Cloud GPU instances. Approximate INR values below use ₹94.98/USD and should be verified before purchase. Reserved, private cluster and volume pricing may vary by term and configuration.
| GPU | VRAM | Billing | Starts at USD / hr | Approx. INR / hr | 36-mo Reserved / mo |
|---|---|---|---|---|---|
| ⚡ GPU NVIDIA L4 | 24 GB | On-demand / reserved | $1.17 | ₹111 | $428.37 |
| ⚡ GPU NVIDIA L40S | 48 GB | On-demand / reserved | $1.95 | ₹185 | $713.96 |
| ⚡ GPU NVIDIA H100 SXM | 80 GB | On-demand / reserved | $4.39 | ₹417 | $1,779.96 |
| ⚡ GPU NVIDIA H100 NVL | 94 GB | On-demand / reserved | $4.39 | ₹417 | $1,779.96 |
| 🔝 FLAGSHIP NVIDIA H200 SXM | 141 GB | On-demand / reserved | $4.73 | ₹449 | $1,866.78 |
Shared GPU infrastructure. Hourly or monthly pricing. Elastic capacity - start small, scale anytime. Best for PoCs, prototyping, and scalable inference.
Dedicated GPU clusters for heavy training and high-throughput workloads. Best for enterprises with strict data isolation and consistent compute requirements.
Mix private clusters with public burst capacity. Ideal for regulated enterprises needing data sovereignty with elastic headroom for peak workloads.
| Node Type | Role | Use case | Pricing |
|---|---|---|---|
| VCE Master Node | Control plane | Cluster orchestration, scheduling | From $113.34/mo |
| VCE Worker Node | GPU compute | AI training, batch inference at scale | Custom quote |
Neysa is positioned for teams that need AI infrastructure with enterprise controls, predictable cost visibility and India-first deployment context. Its official solution areas include banking and financial services, insurance, manufacturing, eCommerce and retail, technical education and research, and digital or AI-native startups.
| Country | City | Type | Status |
|---|---|---|---|
| 🇮🇳 India | Mumbai | HQ & Primary DC | ✓ Live |
| 🇮🇳 India | Bengaluru | Regional Office & DC | ✓ Live |
| 🇮🇳 India | Chennai | Regional Office & DC | ✓ Live |
| 🌏 Global | Expansion Markets | International scale-out | Planned |
Neysa has announced India-focused AI cloud expansion backed by funding of over $1 billion. Buyers should verify the exact region, availability zone, GPU stock and deployment model directly with Neysa before committing to production workloads.
Neysa is an AI Acceleration Cloud provider built for AI training, fine-tuning, inference and enterprise AI deployment. Its Velocis AI Cloud platform includes GPU-as-a-Service, Inference-as-a-Service, AI PaaS, orchestration and MLOps, GPU monitoring, AI infrastructure security, LLM Shield, AI catalog and marketplace features.
Yes. Neysa is an India-based AI cloud infrastructure company. Neysa’s official contact page lists Neysa Networks Private Limited with offices in Mumbai, Bengaluru and Chennai. The company’s official press release also says Neysa designs and develops AI systems that are deployed and operated within India.
Neysa was founded by Sharad Sanghi and Anindya Das. Sharad Sanghi is the Co-Founder and CEO of Neysa, and Anindya Das is the Co-Founder and CTO. The founding team has deep data center and cloud infrastructure experience, including previous leadership experience associated with Netmagic and NTT.
Neysa Velocis is Neysa’s AI cloud platform for building, deploying, scaling and monitoring AI workloads. It supports managed GPU VM instances, bare-metal GPUs, managed Kubernetes clusters, inference endpoints, MLOps workflows and AI infrastructure monitoring from a single platform.
Neysa’s official pricing page lists GPU pricing in USD. Current listed rates include NVIDIA L4 starting at $1.17/hour, L40S at $1.95/hour, H100 SXM at $4.39/hour, H100 NVL at $4.39/hour and H200 SXM at $4.73/hour. Neysa also offers reserved monthly pricing, so final costs may vary by GPU type, usage hours, commitment term, deployment model and enterprise configuration.
Neysa lists NVIDIA L4, L40S, H100 SXM, H100 NVL and H200 SXM GPUs on its official pricing page. These GPUs support AI inference, model fine-tuning, training, high-throughput workloads, enterprise AI applications and GPU-accelerated development environments.
Yes. Neysa’s pricing page lists Bare Metal GPUs as one of its deployment options. It describes bare-metal GPUs as single-tenant servers suited for heavy training workloads, high-throughput performance, exclusive GPU access and multi-GPU nodes on request.
Yes. Neysa offers Managed Kubernetes Clusters with master and worker node options. Its pricing page positions managed Kubernetes for teams that want to deploy and orchestrate AI workloads at scale using containers and AI pipelines.
Yes. Neysa announced a $1.2 billion capital raise led by Blackstone and co-investors. The funding includes up to $600 million in equity from Blackstone and co-investors, with Neysa planning to secure an additional $600 million in debt financing.
No. Neysa is not listed on the stock market. Neysa Networks Private Limited is an unlisted private company, so there is no official Neysa share price on NSE or BSE.
Neysa’s official contact page lists offices in Mumbai, Bengaluru and Chennai. The Mumbai office is listed under Neysa Networks Private Limited at Art Guild House, Phoenix Marketcity, Kurla West, Mumbai.
Common Neysa alternatives include E2E Networks, AceCloud, Cyfuture Cloud, Utho, AWS, Microsoft Azure, Google Cloud, Lambda Labs and CoreWeave. Neysa is a strong fit for AI-focused teams that need GPU cloud, managed Kubernetes, inference infrastructure and enterprise AI infrastructure in India. Other providers may be better depending on budget, GPU availability, managed support, global regions, compliance requirements and self-serve deployment needs.
Compare Neysa against other cloud providers:
NSE-listed Indian cloud with public GPU pricing and strong H100/H200 availability. More self-serve and often lower cost than Neysa, but with less managed AI tooling.
Indian GPU cloud provider with H100, A100 and L40S options at competitive INR pricing. Good alternative for teams that want GPU infrastructure with managed support but do not need Neysa's full AI platform layer.
India's most affordable VPS cloud with GPU options. Best for general-purpose workloads and budget-conscious teams who don't need Neysa's enterprise AI stack.
MeitY-empanelled Indian cloud with strong government and enterprise lineage. Similar compliance posture to Neysa but less AI-native; good for traditional cloud workloads.
Global hyperscaler with Mumbai and Hyderabad regions. Deepest ML service ecosystem (SageMaker, Bedrock) but often more complex and expensive for GPU-heavy workloads, with different data residency and service-control trade-offs.
Developer-friendly global cloud with a Bengaluru DC. Strong DX and docs but no Indian-sovereign GPU cluster. Better for web apps than AI training workloads.
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