NVIDIA GH200 Grace Hopper
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.
How to Get Access
To get access to a GH200 node, please contact us at hpc-support@gwdg.de. For any other questions, suggestions or feedback, you can also get in touch with us via our community chat on Matrix.