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GPU programming: why, when and how? documentation

This material is meant to help both software developers and decision makers navigate the GPU programming landscape and make more informed decisions on which languages or frameworks to learn and use for their projects.

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If you take a look at the diagram above in Figure 1, you’ll notice that there are two rows—one for the “device,” which is the term we usually use when describing the GPU, and one for the “host,” which refers to the CPU.

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For the best performance, put your GPU int the topmost PCIe slot (x16 PCIe slot).

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Consult your motherboard manual to identify the primary x16 slot for the best GPU performance.

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GPUs: Option for eight NVIDIA H100 or H200 GPUs (141GB HBM3 GPU memory per GPU).

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This 2-slot bridge uses NVIDIA NVLink, which is a high-speed, direct GPU-to-GPU interconnect. This bridge enables memory pooling and performance scaling to meet the demands of your visual computing, CAD, CAE, simulation, AI, or data science workloads.