Neysa — AI for Software Development

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 forAI for Developers

DifferentiatorUnified GPUaaS, MLOps, and security with an 'India-First' focus.

ProofCase study: ITQ cut AI costs by 40% on Neysa.

Explore Neysa

Pro from$1.17/hour

7.6 Zekai

Unified AI Development Cloud

AI for Software Development

Ease of Use

7.0

Accuracy

8.4

Value

7.6

Time Saving

7.4

GPU-as-a-ServiceMLOpsAI PaaSCost OptimizationEnterprise Security

📊 Independently reviewed and scored. How we score →

✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026

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Zekai Verdict

What is it?: Neysa provides a full-stack AI Acceleration Cloud System called Velocis, designed for software development and MLOps teams.
Best for: Best for development teams seeking a unified, cost-effective cloud platform to accelerate the entire AI model…
Not ideal for: Pricing is not publicly available and requires a demo.
Price: $1.17/hour
Zekai Score: 7.6/10

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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.

Rating7.6/10

📖 About Neysa

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.

How It Works

Your workflow, automated

Provision GPU Resources

Access NVIDIA or AMD GPUs on demand as bare metal, VMs, or Kubernetes clusters using Neysa's GPU-as-a-Service.

Train & Fine-Tune Models

Use the AI PaaS with integrated MLOps to orchestrate training pipelines, fine-tune open-source LLMs, and manage experiments.

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

Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Deploy and Monitor AI Model Performance

Deploy my [model_name] model to Neysa's AI Cloud. Monitor its real-time performance using the Command Center and track key metrics like [metric_1] and [metric_2]. Ensure it scales efficiently for production use.

Estimate GPU Compute Costs for Training

Estimate the cost of training my AI model on Neysa. I need to use [GPU_type] GPUs for [number_of_GPUs] hours over [duration]. Provide a breakdown of on-demand vs. reserved pricing to see potential savings.

Set up Managed Kubernetes Cluster for AI Workloads

Set up a managed Kubernetes cluster on Neysa for my AI workloads. Configure worker nodes with [node_specifications] and ensure flexible storage options are available. Include pricing for load balancers and extra IPs.

AI Prompts

Prompts for Developers

Prompt 01 Sample Prompt for AI App Prototyping

Generate a functional prototype for a mobile app called 'PlantPal'. It's for new plant owners. Key Screens: - **Onboarding:** A simple 3-step intro to the app's features. - **Login/Sign-up:** Email and password authentication. - **My Plants…

Prompt 02 Generate a Function Docstring

Analyze the following TypeScript function. Write a complete TSDoc comment for it. Explain what the function does, describe each parameter (including its type and purpose), and describe the return value. [[Paste your code here]]

Prompt 03 React Component Refactor with Context

I need to refactor a React component located at `src/components/OldProfile.tsx`. **Goal:** Create a new component `src/components/ProfileHeader.tsx` by extracting the header logic from `OldProfile.tsx`. **Context:** - The new `ProfileHead…

See all 29 AI prompts for Developers →

Social Proof

Trusted by professionals

Ease of Use

7.0

Accuracy

8.4

Value

7.6

Time Saving

7.4

"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

See Plans & Pricing →

Connects With

Neysa integrations

Jupyter Notebooks Kubernetes (K8s) NVIDIA GPUs AMD GPUs

Setup complexity: Advanced

Comparison

Best Neysa alternatives

Neysa's Velocis Cloud competes directly with established platforms like AWS SageMaker. Choose Neysa when your primary goals are cost reduction, operational simplicity, and data residency, particularly within the Indian market. Its all-in-one approach integrating GPUaaS and MLOps is ideal for teams looking to escape the complexity and high TCO of hyperscalers. Opt for AWS SageMaker when you require access to the broadest possible ecosystem of services, deep integration with other AWS products, and have less sensitivity to cost.

The decision

Is Neysa worth it?

Return on investment

By consolidating AI workloads on Neysa, teams can achieve significant ROI, with customer Innoviti reporting a 60% reduction in total cost of ownership.

Built for

AI/ML engineers, MLOps teams, data scientists, and CTOs in startups and enterprises who need to build, train, and deploy AI models at scale without the complexity of managing disparate cloud services.

Effort to adopt

Advanced

Compliance

Compliance posture not publicly documented — verify with vendor.

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.

See all 441 AI tools for Developers → Browse the AI Directory →

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: June 2026 — Assessed the Velocis AI Cloud platform, GPU-as-a-Service, and MLOps capabilities.

Plans & Pricing

Neysa pricing and plans

Pro

$1.17/hour

Custom pricing provided after a demo. Case studies suggest significant cost savings over hyperscalers.

Start Pro Plan

Enterprise

Pricing on request

Tailored for teams and large organisations.

Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Neysa Alternatives (2026)

The best alternatives to Neysa — every tool below is reviewed and scored by Zekai.

Compare	Neysa	CSVBox	Cursor AI Code Editor
Zekai Score	7.6/10	9.5/10	9.4/10
Rating	4.0/5	4.5/5	4.5/5
Pricing	$1.17/hour	$0/mo	Free
Free tier	No	Yes	No
Best for	Best for development teams seeking a unified, cost…	Best for developers building SaaS applications who…	Full-stack developers benefit most, as the tool's …

CSVBox Cursor AI Code Editor n8n Hugging Face GitHub Copilot Applitools Visual Testing with AI Mistral AI CodeRabbit

Free guide

Take it with you

Getting Started with Neysa: From GPU to Production

Understand the Neysa Velocis AI Cloud System
Key differences vs. traditional hyperscalers (AWS, Azure, GCP)
Exploring the GPU-as-a-Service options (NVIDIA/AMD)

Leveraging the built-in MLOps for automated pipelines
Deploying models with Inference-as-a-Service

+4 more steps inside the guide

Send me the full guide

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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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Neysa — AI for Software Development

Top AI for Software Development picks

Your workflow, automated

Before & After

Try it with these prompts

Prompts for Developers

Trusted by professionals

Neysa integrations

Best Neysa alternatives

Is Neysa worth it?