Compute as a Service

NVIDIA DGX H200 GPU compute

Rent GPU partitions on the Centre of Excellence's DGX H200 for AI training, fine-tuning, inference and scientific computing — by the hour or on reserved plans. Open to students, faculty, startups and companies.

  • 8 × NVIDIA H200 Tensor Core GPUs
  • 1,128 GB HBM3e GPU memory
  • Compute 24×7 round-the-clock access
  • Support 8:00 AM – 8:00 PM IST

Compute price calculator

Configure your requirement. The preview updates as you go; nothing is booked here.

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GPU availability

What the Centre can still allocate on a date, from confirmed allocations. Pick a configuration to price it.

NVIDIA DGX H200

8 × H200 Tensor Core GPU · 141 GB HBM3e each · 1,128 GB total

Bookable pool
0 GB
Allocated
0 GB
Available
0 GB

From confirmed allocations, not a live utilisation reading. The bookable pool is the part of the 1,128 GB the Centre allocates; configurations are MIG partitions of the same GPUs and draw on this one pool.

Configurations on 26-10-2026

    Availability is confirmed after request review. A request does not hold capacity until the Centre approves it.

    Day-by-day calendarShow

    Compare plans

    Hourly for intermittent work; reserved plans for continuous use. Select a price to load it into the calculator.

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    Prices are in Indian Rupees.

    Storage and your data

    500 GB included

    Every booking includes 500 GB of NVMe-backed storage at no charge.

    ₹1.50 per extra GB

    Charged once for the booking, not monthly — up to 50,000 GB. Example: 2 TB = 1,548 GB extra = ₹2,322.

    Copy your data out

    Your workspace is kept until 8:00 PM on the day after your allocation ends, then permanently deleted. Nothing can be recovered after that.

    Who can use it, and category discounts

    Discounts apply to compute only, and only after the Centre approves your proof. Storage is charged at the standard rate.

      How booking works

      1. 1

        Configure and price

        Choose configurations, a billing model and storage. The preview shows the amount payable.

      2. 2

        Submit a request

        Sign in, add your project details and start date, and attach category proof if you claim a discount.

      3. 3

        Centre review

        The team checks the requirement, your eligibility and capacity on your dates.

      4. 4

        Payment

        Pay by UPI once the amount is confirmed. Payments are verified by hand.

      5. 5

        Allocation

        You receive credentials, a namespace and a resource quota for your period.

      6. 6

        Compute 24×7

        Use the GPU round the clock for your period. Copy results out before it ends.

      Terms

      • Submit requests at least 3 days before you want to start. Same-day access is not guaranteed.
      • Full payment is made before the allocation begins. Nothing is charged until the request is reviewed and the amount confirmed.
      • A request does not reserve or provision a GPU. Allocation depends on availability, the approved requirement and operational capacity; the Centre may decline or resize a request.
      • Compute is available 24×7 during your allocation. The support desk works 8:00 AM – 8:00 PM IST.
      • The workspace is wiped when the retention window closes. You are responsible for copying out results, checkpoints and datasets.

      Need help choosing?

      The technical team can help you size a workload, check dates before you apply, and with access, credentials, datasets, storage and the container environment.