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Capordia · NVIDIA H100 SXM 80GB rental

H100 SXM: 80 GB for your campaign.

With Capordia, give your team's workloads 80 GB on a single card. Rent an H100 SXM lot for the period you choose and budget your campaign.

  • 1 GPU of 80 GB per lot
  • Memory capacity on a single card
  • 3, 7, or 30 days for the campaign
Configure 7 daysCompare the three plans

Direct crypto payment, no required top-up. Capordia accepts crypto payment without requiring an ID document or a KYC process in this ordering flow. An account with first name, last name, email and password is required; this is not an anonymous purchase. In particular, you can choose BTC on Bitcoin or USDT on Tron TRC-20.

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A complete batch, a chosen period

Three packages for NVIDIA H100 SXM 80GB.

Amounts in USD for the entire batch. Multiply by the number of batches; no automatic renewal.

The right model for your work

Choose 80 GB for an established memory requirement

The H100 SXM is a candidate if your application needs more memory per card than the 24 or 48 GB offers provide and fits within 80 GB with its margin. Count the persistent data, temporary spaces, and concurrent jobs you plan for.

The choice of capacity goes hand in hand with the choice of software. Keep the versions, inputs, and success criteria you will use to validate the target. For a requirement above 80 GB on a single card, look at the 141 GB H200; adding an H100 lot serves another card and does not merge its memory.

A budget for your team

An 80 GB card for a one-week campaign

One H100 SXM lot, one 80 GB GPU, seven days. This period budget lets you plan your team's tests and workloads without predicting how long they will run.

USD 475.00

1 lot(s) × USD 475.00 · 7 days
1 GPUs in total · 80 GB per GPU

Configure NVIDIA H100 SXM 80GB
Two options to compare

Choose based on memory and how the work is organized.

NVIDIA H100 PCIe 80GB

Compare another 80 GB H100 variant. Identical nominal memory does not make configurations interchangeable: check the software's requirements and the scope provided.

USD 420.00 · 7 days
1 lot · 1 GPU · 80 GB per GPU

Review this alternative

NVIDIA H200 SXM 141GB

Have 141 GB on one card if your workload exceeds 80 GB. Assess the required capacity and the budget before introducing multiple GPUs.

USD 640.00 · 7 days
1 lot · 1 GPU · 141 GB per GPU

Review this alternative

Prepare your choice before ordering.

Before committing to the plan, have the CPU resources, host RAM, storage, network, topology, region and schedule that your project depends on specified. The displayed quantity does not reserve a future slot. Your team prepares and validates its software; the configuration is not a ready-to-use application. External fees, taxes and commercial documentation remain for you to verify for your purchase.

Your model, your period

Build your rental.

The selector uses the duration from the chosen link. Adjust the number of batches and check the total before continuing.

01

Your rental

A fixed duration, a total in USD.

1 to 10 lots per request.
A preparation preference to be confirmed before provisioning.
02

Your account and contact details

Sign up or log in while keeping your configuration.

1 lot(s) · 1 GPU · 7 daysUSD 475.00

USD 475.00 per complete lot. The duration and number of lots determine your total.

Your orders are linked to your Capordia account. Log in with your email and password to find them.

Build a campaign around 80 GB

The H100 SXM combines the Hopper architecture with 80 GB of HBM3. Define a memory envelope per job with a typical case and a large case. For training, include checkpointing and resumption in the acceptance; for data processing, also verify that the outputs are complete and reusable.

A prioritized task list is more useful than a general goal of saturating the GPU. For each task, state its input, the expected result and the stopping condition. You can then defer a secondary task without compromising the deliverable that justifies the rental.

Don't isolate the GPU from its application

Validate your CUDA version, the framework and the specialized libraries together. Examine data preparation, computation and export separately: a job waiting on its files won't necessarily be fixed with more GPUs. Prepare a small portable test set to repeat this check after any change to the environment.

Distinguish SXM, PCIe and memory requirements

The H100 PCIe in the catalog also has 80 GB, with HBM2e memory. These are two distinct configurations: the name H100 alone is not enough to treat them as interchangeable. Compare your own workload on the variants under consideration. If the problem is exceeding 80 GB on a single card, look instead at the 141 GB H200.

Plan acceptance and handover

Choose 3 days for a tightly scoped qualification, 7 days for a bounded campaign or 30 days for an organized succession of jobs. Assign someone from the outset to retrieve the outputs and decide whether to continue or stop each series.

Choose the H100 SXM lots, the duration and the environment in the configurator. Once the contact details are entered, the summary and order tracking become the shared reference points between the person paying for the rental and the person preparing the computations.

Choose NVIDIA H100 SXM 80GB

The answers before your rental.

What does the H100 SXM lot price cover?

The lot contains 1 H100 SXM GPU with 80 GB. 3 days: USD 203.57 ; 7 days: USD 475.00 ; 30 days: USD 1,690.00. The USD amount covers the entire period for one lot, with the quantity selected separately.

When should you choose an H200 over a second H100 lot?

Compare a 141 GB H200 if a single task must fit on one card and exceeds 80 GB. Two H100 lots add one 80 GB card each, with no automatic shared memory. They can serve two independent tasks.

Are the 80 GB H100 SXM and H100 PCIe interchangeable?

Do not assume so from their nominal memory. They are distinct variants: compare your application's requirements and the specifications of the configuration provided, then validate a representative job using the same criteria.

Does choosing an environment guarantee an application ready to launch?

No. It indicates a preparation preference. Your team must have the useful resources specified, prepare its dependencies, and validate the software on the target. The plan is a GPU capacity rental, with a delivery schedule to be agreed upon.