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Unified AI cloud platform to train, deploy, and scale models without managing complex infrastructure.

Integrates GPU-as-a-Service, MLOps, and security into a single dashboard for faster time-to-production.

Best forReducing TCO for AI model training and deployment
DifferentiatorUnified GPUaaS, MLOps, and security with an 'India-First' focus.
ProofCase study: ITQ cut AI costs by 40% on Neysa.
Explore Neysa
Pricing on request
9 Zekai
Unified AI Development Cloud
AI for Software Development
Ease of Use
8.2
Accuracy
9.2
Value
9.5
Time Saving
9.0
GPU-as-a-ServiceMLOpsAI PaaSCost OptimizationEnterprise Security
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⚡ Quick answer

For AI for Software Development, Neysa offers a compelling AI Acceleration Cloud System that integrates GPU infrastructure, MLOps, and security into a single platform. It is particularly effective for teams seeking to reduce costs and operational overhead compared to major hyperscalers like AWS or Azure. Customer case studies prove its value, with firms like ITQ cutting AI costs by 40% and Innoviti reducing TCO by 60% by migrating to Neysa's unified environment.

CategoryAI Development Cloud
Best ForReducing TCO for AI model training and deployment
Price FromOn request
FreeNo
DifferentiatorUnified GPUaaS, MLOps, and security with an 'India-First' focus.
ProofCase study: ITQ cut AI costs by 40% on Neysa.
Rating4.5/5
📖 About Neysa
How It Works

Your workflow, automated

1
Provision GPU Resources
Access NVIDIA or AMD GPUs on demand as bare metal, VMs, or Kubernetes clusters using Neysa's GPU-as-a-Service.
2
Train & Fine-Tune Models
Use the AI PaaS with integrated MLOps to orchestrate training pipelines, fine-tune open-source LLMs, and manage experiments.
3
Deploy & Monitor
Deploy models as managed endpoints via Inference-as-a-Service and monitor performance with live telemetry from a unified dashboard.
Ready to automate your workflow with Neysa?
Explore Neysa →
Real Impact

Before & After

❌ Before

Juggling multiple, expensive cloud tools for GPU access, model training, and deployment, leading to high overhead and slow time-to-market.

Complex, multi-vendor stack
✅ After

A single, cost-effective platform manages the entire AI lifecycle, accelerating deployment and reducing operational costs.

Unified AI Cloud System
Social Proof

Trusted by professionals

Ease of Use
8.2
Accuracy
9.2
Value
9.5
Time Saving
9.0

"With AWS and Azure, costs were piling up. We needed scalability, data residency, and domain-tuned models. With Neysa, we got it all. 100% of our AI workloads now run on Neysa."

Aman G., Founder & CEO · June 2026

"By partnering with Neysa, we’ve finally moved past the latency and cost barriers of legacy infrastructure to a system that handles our scale with total reliability."

Anil P., Chief Technology Officer · May 2026

"When you build your own models, infra becomes a critical piece. Hyperscalers come with constraints. With Neysa, we hit the right synergy, giving us reliability and the ability to scale with confidence."

Akshhat M., CTO & Co-founder · April 2026

"Global players can’t solve India-specific nuances. With Neysa, we get compute tuned for high-throughput, low-latency workloads that actually meet enterprise-grade accuracy requirements."

Raoul N., Co-founder & CEO · March 2026
Neysa+ professionals are already using this tool.
See Plans & Pricing →
Connects With

Works with your existing stack

Jupyter Notebooks Kubernetes (K8s) NVIDIA GPUs AMD GPUs
Setup complexity: Advanced
Neysa provides a full-stack AI Acceleration Cloud System called Velocis, designed for software development and MLOps teams. It simplifies the entire AI lifecycle by integrating GPU infrastructure, orchestration, and security, allowing teams to move from concept to production faster and more cost-efficiently.
Who It's For

Why Software Development choose this tool

🎯
Built for
Best for development teams seeking a unified, cost-effective cloud platform to accelerate the entire AI model lifecycle, from training to production deployment.
In-Depth Overview
For development teams struggling with the high costs and complexity of hyperscalers, Neysa offers a streamlined, cost-effective alternative. Its Velocis platform directly addresses the pain of tool sprawl by unifying GPU-as-a-Service, a full AI Platform-as-a-Service (PaaS), and end-to-end MLOps into a single dashboard. This integrated approach is proven to accelerate development; customer ITQ cut AI costs by 40%, and Innoviti reduced its Total Cost of Ownership (TCO) by 60% after switching from AWS and Azure. Neysa provides access to both NVIDIA and AMD GPUs on bare metal, VMs, or Kubernetes, giving teams the flexibility they need. Its 'India-First' design provides a key advantage for teams in the region, ensuring data residency and offering solutions tuned for local market nuances that global players often overlook. By providing full operational visibility and transparent cost governance, Neysa empowers teams to regain control over their AI workloads and scale with confidence.

Key Use Cases

⚙️
Reduce AI Infrastructure TCO by up to 60%
MLOps Engineer
Migrate AI workloads from expensive hyperscalers to Neysa's optimized cloud. Gain cost transparency and performance-tuned infrastructure without sacrificing control, as demonstrated by Innoviti's 60% TCO reduction.
60% TCO Reduction
✓ Pros
Reduces Total Cost of Ownership (TCO) compared to hyperscalers.
Integrated platform simplifies the entire AI development lifecycle.
Provides full visibility and control over AI environments.
Offers both NVIDIA and AMD GPUs on bare metal, VM, or Kubernetes.
Specialized support and design for high-growth markets like India.
· Cons
Pricing is not publicly available and requires a demo.
As a newer platform, its service ecosystem is less extensive than AWS or Azure.
Primarily focused on the Indian market, which may affect support for other regions.
⚡ Editorial Verdict

Neysa's Velocis platform is a compelling alternative to major hyperscalers for AI development, particularly for teams in emerging markets like India. Its all-in-one approach—combining GPU access, MLOps, and security—genuinely simplifies the path to production. The main trade-off is that as a newer player, it lacks the vast service ecosystem of giants like AWS, but it compensates with specialized support and significant cost efficiency.

Questions & Answers

Frequently asked questions

What is Neysa Velocis?

+
Neysa Velocis is a full-stack AI Acceleration Cloud System designed to simplify building, deploying, and scaling AI applications. It integrates GPU infrastructure, MLOps, security, and monitoring into a single platform.

What GPUs are available on Neysa?

+
Neysa offers both NVIDIA and AMD GPUs, which can be provisioned on bare metal, as a virtual machine (VM), or on Kubernetes (K8s).

How much does Neysa cost?

+
Neysa's pricing is not publicly listed. You must contact their sales team or request a demo to get a custom quote based on your specific needs.

How does Neysa compare to AWS, Azure, and GCP?

+
Neysa positions itself as a more cost-effective and integrated alternative to hyperscalers like AWS, Azure, and GCP for AI workloads. Its key differentiators are a unified platform, transparent costs, and a focus on emerging markets like India.

Does Neysa keep data within India?

+
Yes, Neysa is designed with an 'India-First' approach, and customer testimonials confirm that it provides the data residency required for compliance and performance within the Indian market.

How does Neysa secure LLMs in production?

+
Neysa provides the Aegis LLM Shield, a component designed to enforce security policies on all LLM endpoints, protecting AI environments and models in production.

Last reviewed:

Plans & Pricing

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Pricing on request
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AI Directory

About Neysa

Full Description

Neysa provides a full-stack AI Acceleration Cloud System called Velocis, designed for software development and MLOps teams. It simplifies the entire AI lifecycle by integrating GPU infrastructure, orchestration, and security, allowing teams to move from concept to production faster and more cost-efficiently.

Editorial Verdict

Neysa's Velocis platform is a compelling alternative to major hyperscalers for AI development, particularly for teams in emerging markets like India. Its all-in-one approach—combining GPU access, MLOps, and security—genuinely simplifies the path to production. The main trade-off is that as a newer player, it lacks the vast service ecosystem of giants like AWS, but it compensates with specialized support and significant cost efficiency.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Neysa unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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