AI-first Cloud Infrastructure

Access tools, frameworks, models and scalable GPU infrastructure to create and deploy AI use-cases with speed, ease and efficiency.

Take a Quick Look

Neysa Velocis AI cloud infrastructure with GPU servers

Best in class GPUs

Run state-of-the-art VMs with NVIDIA GPUs: H100, L40S. Manage your distributed training with Kubernetes.

Ready in minutes

The most intuitive and resilient experience in setting up your ML/AI workload. High performance multi-cloud performance with just a few clicks.

Scale capacity instantly

Get on-demand access to scale capacity via a simple console request. With long-term reserve, you get discounts on resources.

The new home for your AI use cases, today and tomorrow.

01

Build

Begin training, fine-tuning and prompt engineering with our Accelerated GPU Cloud built to meet your business demands.

02

Deploy

Easily integrate your production applications using GlusterFS and Slurm to a full-scale distributed cluster using APIs of your choice.

03

Scale

With the fastest performance available
and elastic scaling, Neysa Velocis is built
to scale with your needs as you grow.

OUR PRICING PLAN

Choose the Plan That Fits Your Needs

We offer on-demand GPUs at hourly rates for flexibility and monthly/annual commitments for cost savings. Explore our plans below:

SKU description	No. of Instances	Total Video Memory per SKU	On-Demand (INR)	1-month (INR)	6-month (INR)	12-month (INR)
NVIDIA L4 16 vCPU, 96GB RAM, 100GB NVME Inventory: 104	1 2 4	24GB 48GB 96GB	45.07 98.84 196.68	29.00 58.00 116.00	26.75 54.00 108.00	24.00 48.00 96.00
NVIDIA L40s 32 vCPU, 180GB RAM, 500GB NVME Inventory: 208	1 2 4	48GB 96GB 192GB	67.50 135.00 306.00	49.50 99.00 198.00	49.50 99.00 198.00	45.00 90.00 180.00
Cluster NVIDIA H100 SXM 48 vCPU, 256GB RAM, 1000GB NVME Inventory: 392	1 2 4 8	80GB 160GB 320GB 640GB	153.00 306.00 612.00 1224.00	134.10 268.20 536.40 1072.80	125.10 250.20 500.40 1000.80	117.00 234.00 468.00 936.00
NVIDIA H100 NVL 48 vCPU, 256GB RAM, 1000GB NVME Inventory: 104	1 2 4 8	94GB 192GB 384GB 768GB	140.00 337.48 674.96 1349.92	135.00 294.44 588.88 1177.76	118.00 274.04 548.08 1096.16	100.00 257.08 514.16 1028.32
Cluster NVIDIA H200 SXM 48 vCPU, 256GB RAM, 1000GB NVME Inventory: 200	1 2 4 8	141GB 282GB 564GB 1128GB	140.00 510.00 1020.00 1125.00	135.00 448.00 896.00 1100.00	118.00 418.00 836.00 945.00	100.00 390.00 780.00 785.00
AMD MI300 Inventory: 32	1 2 4 8	192GB 384GB 576GB 768GB	168.20 378.50 757.00 1416.50	165.04 371.35 742.70 1389.90	161.88 364.23 728.46 1363.20	148.00 333.00 666.00 1336.00
NVIDIA B200 SXM	1 2 4 8	192GB 384GB 576GB 768GB	323.00 646.00 1292.00 2584.00	308.00 616.00 1232.00 2464.00	293.00 586.00 1172.00 2344.00	279.00 558.00 1116.00 2232.00
NVIDIA B300 SXM	1 2 4 8	192GB 384GB 576GB 768GB	351.00 702.00 1404.00 2808.00	342.00 684.00 1368.00 2736.00	333.00 666.00 1332.00 2664.00	319.50 639.00 1278.00 2556.00

Network Services – Data Transfer Service

Serial No.	Type	Price (in INR per GB/month)
1 2	Ingress Egress	0 0

Storage Services

Serial No.	Type	Price (in INR per GB/month)
1 2	High Speed Block Storage Object Storage	9.3 9.3

AI Platforms and other services

Overall discount % offered for empanelment with IndiaAI – (10% – 15% range)

Serial No.	Service Description	Price (in INR per month)
1	Managed Kubernetes Service – Velocis Container Engine, non-HA (Single Master Node configuration)	2,45,000.00
2	Managed Kubernetes Service – Velocis Container Engine, HA	3,65,000.00
3	MLOps Platform – Full Deployment Capability, Incl. Access to Low Code No Code Tools	18,00,000.00
4	Premium Service and Support (24×7 Model) – Without Technical Account Manager	90,000.00
5	Premium Service and Support (24×7 Model) – With Dedicated Technical Account Manager  (60 Hours/Month)	2,70,000.00
6	AI/ML Expert (60 Hours/Month)	5,85,000.00
7	Velocis Advanced Cluster Manager (Per compute node or 8 AI compute units)	4,15,000.00
8	Velocis Advanced AI Job Scheduler (Per compute node or 8 AI compute units)	4,95,000.00
9	DevOps Engineer – 5 Days	13,50,000.00
10	Agentic AI developer – 5 Days	13,50,000.00
11	AI RAG Developer – 5 Days	13,50,000.00

Parallel File System

Type	Market Price (in INR per GB/month)
Parallel File System  (Throughput – Minimum 1 GB/s read and 0.5GB/s write per AI Compute Unit)	9.3

MPLS Networks

Type	Market Price (in INR per GB/month)
Dedicated (MPLS) network  (Throughput – Minimum 1 GB/s)	50000

Internal NVMe

Type	Market Price (in INR per GB/month)
Internal NVMe/SSD storage	9.3

AI services

Serial No.	Service Name	Service Description	Unit	Market Price (in INR per month)

1	Premium Service and Support	Premium Service and Support (24×7 Model) – Without Technical Account Manager	Per month	60000
2	Premium Service and Support	Premium Service and Support (24×7 Model) – With Dedicated Technical Account Manager (60 Hours/Month)	Per month	180000
3	AI Build & Deploy Services	AI/ML Expert (60 Hours/Month)	Per month	450000

WHY NEYSA VELOCIS

Unleash the Full Potential of Your Next AI Project

Engineered specially for AI/ML use cases

Built for enterprises to use AI as much, as often, as easily and as cost efficiently as possible.

Take ideation to production 6x faster

Efficient, consumption-based charging. Never pay for idle GPU time.

Easy to deploy, easy to migrate too

No lock-ins or painful migrations. Completely open-source & made to offer you choice at every layer.

Granular cost control & optimisation

No GPU hour wasted. Consumption-based charging ensures you never pay for more than you need or use.

Library of pre-trained AI models on Neysa Velocis

Access pre-trained models

Ever-growing library of pre-trained models to choose from and fine-tune to your exact needs

A universe of integrations that plug into Velocis

Neysa Velocis integrates out of the box with many of your favourite frameworks and tools to streamline your AI projects

Neysa Velocis integrations with AI frameworks and developer tools

Clients Who Trust Us!

$fractal ai$

What Our Good Folks Say

Why our Customers choose Neysa

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 Porter

Chief Technology Officer

ITQ

Building voice AI for India means dealing with 19,000 dialects, code-switching, and background noise where 95% accuracy isn’t enough. Global/hyperscale 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 Nanavati

Co-founder and CEO

Navana.ai

When you build your own models, infra becomes a critical piece. Hyperscalers come with constraints—you don’t always get the configurability or inference capabilities you want. With Neysa, we hit the right synergy. It gives us reliability, flexibility, and the ability to scale with confidence.

Akshhat Mandloi

CTO & Co-founder

Smallest.ai

With AWS and Azure, costs were piling up and generic models just didn’t deliver the accuracy our banking customers needed. We needed scalability, data residency, and domain-tuned models — all at sustainable costs. With Neysa, we got it all. Today, 100% of our AI workloads, from speech-to-text to inferencing, run on Neysa because it gives us the performance, compliance, and control hyperscalers couldn’t.

Aman Goel

Founder & CEO

Greylabs.ai