SXM (Server PCI Express Module) [1] is a high bandwidth socket solution for connecting Nvidia Compute Accelerators to a system. Each generation of Nvidia Tesla since the P100 models, the DGX computer series and the HGX boards come with an SXM socket type that realizes high bandwidth, power delivery and more for the matching GPU daughter cards. [2]

The H100 SXM5 80 GB is a professional graphics card by NVIDIA, launched on March 21st, 2023. Built on the 5 nm process, and based on the GH100 graphics processor, the card does not support DirectX.

Explore the variants of the NVIDIA H100 GPUs (SXM5, PCIe, NVL, DGX, and HGX) for AI and HPC workloads. Learn about their features, performance, and use cases.

Jan 23, 2025 · The NVIDIA H100 SXM5 is a high-performance GPU designed for advanced computing tasks, including artificial intelligence (AI), machine learning, and high-performance computing (HPC). Built on NVIDIA’s Hopper architecture, it offers significant improvements over previous generations.

The choice between the NVIDIA H100 NVL and SXM5 ultimately depends on your specific project requirements. The NVL offers a more versatile and accessible option for various applications, …

Mar 22, 2022 · The H100 SXM5 GPU is the world’s first GPU with HBM3 memory delivering a class-leading 3 TB/sec of memory bandwidth. 50 MB L2 cache architecture caches large portions of models and datasets for repeated access, reducing trips to HBM3.

May 6, 2022 · Nvidia's H100 SXM5 module carries a fully-enabled GH100 compute GPU featuring 80 billion transistors and packing 8448/16896 FP64/FP32 cores as well as 538 Tensor cores …

Feb 27, 2023 · In this blog post, we compare the PCIe and SXM5 form factors for NVIDIA H100 GPUs, the highest-performing GPUs currently available, and contrast performance and costs to help you make an informed decision.‍

The H100 SXM5 GPU is the world’s first GPU with HBM3 memory delivering a class-leading 3 TB/sec of memory bandwidth. 50 MB L2 cache architecture caches large portions of models and datasets for repeated access, reducing trips to HBM3.

It features 80 billion transistors, 16896 CUDA cores and 80GB HBM3 memory, with 50MB L2 cache, theoretical performance of 66.91TFLOPS, with total power consumption of 700W.