The NVIDIA H100 Tensor Core GPU delivers exceptional performance, scalability, and security for every workload. H100 uses breakthrough innovations based on the NVIDIA Hopper™ architecture to deliver industry-leading conversational AI, …

Mar 6, 2024 · 【High-Performance Shading Units】With an impressive 14,592 shading units and 456 tensor cores, this graphics card delivers exceptional rendering capabilities, enhancing both graphics and machine learning applications.

Mar 23, 2022 · The most basic building block of Nvidia’s Hopper ecosystem is the H100 – the ninth generation of Nvidia’s data center GPU. The device is equipped with more Tensor and CUDA cores, and at higher clock speeds, than the A100.

This datasheet details the performance and product specifications of the NVIDIA H100 Tensor Core GPU. It also explains the technological breakthroughs of the NVIDIA Hopper architecture.

The NVIDIA H100 NVL card is a dual-slot 10.5 inch PCI Express Gen5 card based on the NVIDIA HopperTM architecture. It uses a passive heat sink for cooling, which requires system airflow to operate the card properly within its thermal limits.

The Nvidia Hopper H100 increases the capacity of the combined L1 cache, texture cache, and shared memory to 256 KB. Like its predecessors, it combines L1 and texture caches into a unified cache designed to be a coalescing buffer.

The H100 PCIe 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.

A high-level overview of NVIDIA H100, new H100-based DGX, DGX SuperPOD, and HGX systems, and a H100-based Converged Accelerator. This is followed by a deep dive into the H100 hardware architecture, efficiency improvements, and new programming features.

Feb 18, 2024 · H100 is generally more expensive than A100, and H800 might be priced differently due to its limited market availability. Choosing the best GPU depends on your specific needs …

NVIDIA H100 GPUs feature fourth-generation Tensor Cores and the Transformer Engine with FP8 precision, further extending NVIDIA’s market-leading AI leadership with up to 4X faster training and an incredible 30X inference speedup on large language models.