For enterprises
Private AI, on hardware you own, in India.
Run models on your own documents, calls and customer data without sending them to a shared cloud. Your servers sit at Yotta in India, Tier IV certified in Navi Mumbai, and only people you approve can touch them.
Sound familiar?
What we hear, and what we do.
- Sensitive data can’t go to a shared AI cloud
- Dedicated servers your company owns. No other tenant runs on them.
- Data must stay in India
- Hosted at Yotta in Navi Mumbai or Greater Noida.
- Audit and access questions
- A named access list and a record of who handled the equipment.
- IT doesn’t run GPU data centres
- We run power, cooling, network and remote hands. Your team runs the models.
Recommended hardware
Where teams like yours start.
H200
Hopper · SXM
- Memory
- 141 GB HBM3e per GPU
- Power
- Up to ~10.2 kW per server
B300
Blackwell Ultra · SXM
- Memory
- 288 GB HBM3e per GPU
- Power
- Up to ~14 kW per server
GB300 NVL72
Blackwell Ultra · rack-scale
- Memory
- 20 TB HBM3e across 72 GPUs
- Power
- ~132–140 kW per rack
How it works for you
An asset on your books, not a line in someone else’s.
Owned GPU servers depreciate at 40% a year and keep their resale value. When your AI programme grows, you add servers; when it changes, you sell or swap them.
Questions
Can we run AI on our own GPU servers in India?
Yes. We source the servers, host them at Yotta in Navi Mumbai or Greater Noida, and run the infrastructure. You run your models on hardware only your company uses.
Who can access our servers?
Only people on your access list, and our technicians for agreed work. The servers are dedicated to you.
Can you work with our implementation partner?
Yes. Many enterprises bring an AI implementer for the software. We handle the hardware and facility side.
