2 × NVIDIA B200 SXM
RenderParcel's B200 offering is a fixed lot of two NVIDIA B200 SXM cards, each equipped with 180 GB of HBM3e. It is intended for a project able to make use of two GPUs: independent processes distributed between the cards, or software designed to distribute a single computation.
- GPUs per batch
- 2
- Memory per card
- 180 Go HBM3e
- Stock
- 4 lots
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Set up my rental 4 lots in stockTwo cards, two responsibilities to organize
For visual production, start by mapping out how the work is split. You can consider two independent series or an explicit separation of components if your software allows it. An ordinary ComfyUI workflow should not be assumed to be automatically distributed just because two GPUs are present.
Define a control task for each card, then check the files produced and their parameters. If you use a distributed model, document the distribution mechanism and the necessary dependencies before committing the whole series.
180 GB per GPU, with no transparent addition
The two cards represent 360 GB of physical memory in total, but that total is not a single pool of memory available unconditionally to any application. The software must handle the use of multiple GPUs and data exchanges. A process limited to a single card must stay within that card's envelope.
Also keep a margin for intermediate data. Successfully loading a model does not yet validate decoding, upscaling or processing a full sequence.
Prepare for Blackwell generation
The B200s belong to Blackwell. Check that the NVIDIA components, PyTorch and the workflow extensions support this architecture. A package compiled for another generation is not automatically appropriate. Keep the versions from a successful test before modifying the environment.
If your project can only use one GPU and its measured memory peak for the full process leaves a margin below 141 GB, the H200 is a simpler alternative to organize. For Blender, if the measured memory peak throughout the render and its outputs stays below 48 GB with a margin, first compare an RTX card suited to graphics computation.
Plan the distribution before choosing the lot
Before ordering, assign a name to each task, a target card and an output folder. Verify with a test run that both GPUs work as expected; for a distributed model, also keep its distribution configuration. Measure the full time, exchanges and checkpointing included, to choose 3, 7 or 30 days with a margin for restarts.
The point to double-check in the quote is the quantity: each B200 lot contains two cards. Then save your contact details and choose crypto payment without KYC. As soon as the order is created, its tracking remains accessible in the studio. Keep a separate copy of the settings and results for each task.