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KERNODECK / VOTRE CONFIGURATION

Two B200 SXM for a project that truly uses two cards.

Give your distributed project a budget. Kernodeck rents the 2 × NVIDIA B200 SXM lot, i.e. 2 GPUs of 180 GB each, from 887.57 USD for 3 days. Choose it for two independent runs or an explicitly distributed, Blackwell-compatible application; each card keeps its own memory.

  • 2 GPUs included in one lot
  • 180 GB per card
  • Distribution organized by your application
Configurer the B200 batch · 7 days ↗Compare the 3 durations
At Kernodeck, no ID and no KYC process on this GPU rental path. Account required: first name, last name, email and password; that does not mean anonymity. Account data ↗
YOUR PERIOD BUDGET

Rent the two-GPU lot for 3, 7 or 30 days.

Each price covers 1 full lot for the entire duration. Both B200s are already included; each card has 180 GB, with no single 360 GB pool of memory.

2 GPUs includedHBM3e
180GB per card

4 available lots.

Memory indicated per GPU. Choose the duration, then the number of lots in the configurator.

3 jours

2 GPUs per lot

$887.57Rent 3 jours

7 jours

2 GPUs per lot

$2,071.00Rent 7 jours

30 jours

2 GPUs per lot

$7,391.00Rent 30 jours

Buy the lot for its two cards, with a role for each.

The B200 is a candidate if you have two independent runs to compare or a model whose distribution across GPUs is planned by your software. In the first case, each run must fit within the 180 GB of its card. In the second, the partitions, exchanges, and restoration must match your application and a Blackwell-compatible stack.

For a series of distributed configurations, budget 2,071.00 USD for 1 lot of 2 B200s over 7 days. This amount already includes both GPUs: do not multiply it by two a second time. A first 3-day period costs 887.57 USD for that same lot. The budget must be justified by the use of both cards, without assuming that 360 GB is automatically usable by a single process.

Can a single card be enough for your application?

If your application fits within 141 GB and does not use a second card, compare the H200 SXM. You stay within the NVIDIA ecosystem with a single-card unit; its package is cheaper than the lot of two B200s in the Kernodeck catalog. Check that your dependencies are compatible with the hardware you choose.

If your need is for more memory per card and your software is suited to ROCm, the MI300X offers 192 GB on a single GPU. This alternative changes the backend: it deserves an explicit comparison of dependencies, not just swapping the model in the command.

TO BREAK THE TIE

Two alternatives to compare.

7-day budgets for one lot. The choice depends on your application's memory and dependencies.

YOUR PAYMENT

Your plan, payable directly in crypto.

Pay for your Kernodeck rental directly in crypto, with no mandatory top-up: BTC on Bitcoin and USDT on Tron (TRC-20), among others. The process requires neither an ID document nor a KYC procedure; an account with first name, last name, email and password is required, with no promise of anonymity.

Compare the eight accepted assets and networks ↗

The terms that matter for your project

Availability. 4 declared batches. Declared quantities per model in the offers. They do not reserve future availability or a delivery date. Hosting country and served region to be confirmed before purchase if your project requires them.

Setup. Ubuntu, PyTorch, Blender or a custom request. Versions, CPU, RAM, storage, network and access mode to be confirmed per project; their inclusion is not implied by the GPU model.

Pricing and terms. USD amounts for the lot and the entire period. Tax status and any fees to be confirmed in the applicable terms.

Read the rental terms ↗
AVANT DE CHOISIR

Does this configuration fit your project?

Does the B200 price include one card or two?

The price includes 1 lot of 2 B200 SXM with 180 GB each: 887.57 USD for 3 days, 2,071.00 USD for 7 days, or 7,391.00 USD for 30 days. Both cards are already included in each amount. Selecting 2 lots would mean 4 GPUs and twice the price of the lot.

Do I need a distributed application to rent this lot?

You can assign an independent run to each card if each one fits within 180 GB. To distribute a single model across the GPUs, your software must organize that distribution and the exchanges. In either case, prepare a stack compatible with B200 and Blackwell.

Do the two B200s automatically give my model 360 GB?

No. Each B200 has 180 GB of memory. A distributed model can use several cards if your software handles its partitions and exchanges, but the lot does not automatically create a single 360 GB space. This point should guide your choice before configuration.

When should I prefer the H200 or MI300X over the B200 lot?

Compare the H200 SXM if a single 141 GB NVIDIA card is enough for your workload. Consider the MI300X for its 192 GB per GPU if your application and its dependencies are compatible with ROCm. The B200 lot is justified when your project actually uses both of its cards and their architecture.

TO PREPARE YOUR WORK

From choosing a plan to your application.

Two cards, an explicit distribution plan

Start by choosing between two strategies: a copy of the model on each card to process different data, or a model actually split across the GPUs. PyTorch data parallelism alone does not turn two memories into a single pool usable by an oversized model.

The 180 GB belongs to each B200. To use them together, document the model partitioning, the inter-process exchanges and the saving of the partitions. A short communication and restore test should precede the full campaign.

Verify Blackwell before optimizing

Prepare a PyTorch distribution and compiled extensions compatible with B200. A Python library imported without error can still fail at the first CUDA kernel: so test loading, a forward pass, gradient computation and writing a checkpoint. Keep the versions that ran this path.

Then separate initial compilation and stabilized computation in your measurements. This distinction helps decide whether an optimization deserves to be kept for your own workload.

When to choose H200 or MI300X

If all your processing fits on a single card and does not use the second GPU, look at the H200 SXM at 141 GB. If your priority is a large memory per card with a mastered ROCm environment, the MI300X at 192 GB is another option. The choice depends first on the software and the compute plan.

Plan the batch and its deliverables

Allow 3 days to validate the distributed launch, 7 days to compare several settings and 30 days for a campaign with regular checkpoints. Each ordered batch contains two B200; check the total number of cards in the summary.

Select the duration, the batches and the preparation, then enter your first name, last name and email. Choose your crypto and its network; after the transfer, “I have paid” records your notification. Keep the order reference with the manifest of the runs.

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