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On-demand GPUs

Whole GPUs, by the second.

Use an NVIDIA H200 NVL when the work needs one and stop when it's done. You pay for the seconds it runs, with a 60-second minimum, in rupees.

Coming soonEnterprise early access is open

How it works

Three steps.

  1. 01

    Open your workspace

    A notebook or a pipeline, ready when you sign in.

  2. 02

    Start on an H200 NVL

    One GPU, or several for a bigger job.

  3. 03

    Stop, and the meter stops

    You pay for the seconds the work ran, in rupees.

See it

Per second, in rupees. Nothing rounded up.

Billing
Per secondGPU time and MIG slices are metered by the second they run.
Minimum
60 s60 seconds per run. Nothing is rounded up to the hour.
Currency
NPRInvoiced in Nepalese rupees, so there is no exchange-rate margin.
Ways to pay
eSewa · KhaltiOr bank transfer and invoice. VAT at the statutory rate.

Rates are being finalised. Every request gets a firm quote in rupees within one working day.

What you get

On-demand GPUs, in detail.

  • Billed by the second

    No rounding up to the hour. Stop the job and the meter stops with it, after a 60-second minimum.

  • 141 GB on every GPU

    Room for large models and long contexts on a single card, at 4.8 TB/s.

  • Notebooks and pipelines

    JupyterLab, Kubeflow pipelines and Ray jobs, ready in your workspace.

  • No commitment

    Nothing to reserve and no contract. When the work turns steady, reserved capacity costs less.

  • Close to your data

    Storage sits beside the GPUs in the same datacentre, so data never crosses a border to be read.

Under the hood

The key numbers.

GPU memory
141 GB
Memory bandwidth
4.8 TB/s
Minimum per run
60 seconds
Full specifications

Billing

Per second, 60-second minimum

Commitment: none. Rates are being finalised; every request gets a firm quote in rupees.

How billing works

Questions

About on-demand gpus.

What is the smallest charge?

Sixty seconds. After that you pay for each second the work runs.

Can we use more than one GPU?

Yes. Ask for the number of GPUs a job needs when you request access, and we plan capacity for it.

Start with on-demand gpus.

Tell us what you want to run. It takes about a minute.