I have a model and users waiting on it.
That is inference. Go to AI inference hosting: we put the model behind an API on a GPU sized for your traffic and keep latency steady at peak.
AI infrastructure
GPU infrastructure for AI workloads in India.
Dedicated NVIDIA GPUs rented by the month from ₹32,000 per card, with deployment and 24/7 operations if you want them. Three pages below: one for serving a model, one for running an LLM privately, one for training.
Which page is for you
Start from the job, not the card.
I want ChatGPT-style answers without sending data abroad.
That is private LLM hosting. We run Llama, Qwen or Mistral on a card reserved for you in India and give your apps an OpenAI-compatible endpoint.
I need to fine-tune or train, and the run takes days.
That is model training. You rent A100, H100, H200 or B200 cards for the month, with fast storage and checkpoint paths ready before you start.
I only know we need “a GPU server”.
Fill in the form with the model, the data and what you expect to happen. We reply with the right page, a card and a monthly INR price.
Three pages
Choose the page that matches your work.
Every GPU is rented by the whole month, priced per card in INR. Prices exclude applicable taxes.
AI inference hosting
From ₹32,000per card per month
For a model that answers requests in production: chat, vision, speech, embeddings or recommendations.
- L4 for small models, H100 or H200 for 70B-class
- Benchmarked on your prompts before go-live
- Optional 24/7 Production Care
Private LLM hosting
From ₹55,000per card per month
For open-weight models on your own card in India, where the prompts and documents must not leave the country.
- Llama, Qwen, Mistral, Gemma or DeepSeek on your own card
- An 8B model also fits the L4; 30B-class fits the L40S
- Deployed and managed if you want
Model training GPUs
From ₹99,000per card per month
For fine-tuning and training runs, on one card or a multi-GPU node, with the data pipeline sized for the run.
- A100 for budget fine-tunes, H100 for speed
- Multi-GPU nodes quoted with the interconnect stated
- Checkpoint storage and data loading checked before the full run
Common questions.
What is a GPU in AI?
A graphics processing unit is a chip with thousands of small cores that run the same operation on many numbers at once. Neural networks are mostly large matrix multiplications, so a GPU does in seconds what a CPU does in minutes. In AI hosting, “a GPU” usually means one NVIDIA data-centre card such as an L4, A100 or H100, rented with a server around it.
Do I need a GPU, or will a CPU server do?
Small models, embeddings at low volume and overnight batch jobs can run on CPU. Anything that must answer people in real time, or train on more than a toy dataset, becomes impractical without a GPU. If you are unsure, tell us the model and the expected load and we will say which it is.
Monthly or hourly: which is cheaper for GPUs?
Hourly suits a few hours of experiments. A card that is busy most of the day costs less on a flat monthly rent, and the bill is known before the month starts. We rent by the month only, with a one-month minimum, so the price on each page is the whole price.
How much is a GPU for AI per month?
From ₹32,000 for an L4 to ₹4,59,000 for a B200, per card per month in INR, with the full table on the GPU hosting page. Deployment starts at ₹50,000 as a one-time project, and having us run the workload starts at ₹75,000 a month.
I’m building RAG or a chatbot on our documents. Which page?
RAG is inference plus a model you host, so start at private LLM hosting if the documents are sensitive, or at AI inference hosting if you only serve embeddings and a small model. Fine-tuning comes later, if at all.