<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NVIDIA GH200 Grace Hopper :: Documentation for HPC</title><link>https://docs.hpc.gwdg.de/services/ftp/gh200/index.html</link><description>Introduction NVIDIA’s GH200 Grace Hopper superchip fuses the Grace CPU and Hopper GPU with NVIDIA NVLink‑C2C, creating a single, coherent CPU‑GPU memory space. This design theoretically enables workloads to run faster and with less programming overhead compared to traditional systems with separate, discrete CPUs and GPUs.
Feature What it means for you Coherent memory model CPU and GPU can share data directly, no explicit copies or staging buffers 900 GB/s coherent interconnect Up to 7x the bandwidth of PCIe Gen5, delivering fast memory access for data‑intensive tasks HBM3 / HBM3e GPU memory High‑capacity, high‑bandwidth memory that accelerates large ML models and simulations GH200 is used, e.g., in Forschungszentrum Jülich’s JUPITER exascale class supercomputer and NVIDIA’s DGX GH200 system.</description><generator>Hugo</generator><language>de-de</language><atom:link href="https://docs.hpc.gwdg.de/services/ftp/gh200/index.xml" rel="self" type="application/rss+xml"/></channel></rss>