This equals about 12 optical modules per GH200 chip, accounting for both NVLink and IB network needs in fully integrated systems. Estimating Optical Module Count in GH200 Clusters Analysts and technical sources have estimated the number of. The NVIDIA GH200 Grace Hopper™ Superchip is a breakthrough processor designed from the ground up for giant-scale AI and high-performance computing (HPC) applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers. In a 256-GPU GH200 cluster, each GH200 corresponds to 9 800Gbps optical modules, with each module delivering 100GB/s over two NVLink 4. Join Medium for free to get updates from this writer. The key difference between the DGX GH200 SuperPod and the DGX H100 SuperPod is that both intra-node. In terms of external connection, a single GH200 chip uses four 800G rate ports for external connection; from the perspective of network architecture, two-layer switches are used, so the corresponding 800G optical module requires a ratio of 4x4=16 times, that is, a single GH200 chip It will drive. The NVIDIA GH200 marks a major step forward in AI infrastructure by merging a Grace CPU and Hopper GPU into a single superchip. Together they expose 576 GB of unified memory, combining 96 GB of HBM3 on the GPU with 480 GB of LPDDR5X on the CPU. A dedicated NVLink-C2C interface moves data between. – The Nvidia GH200 is a hybrid superchip that merges a 72‑core Arm CPU (Grace) with a Hopper/H200 GPU using NVLink‑C2C. This integration creates up to 624 GB of unified memory accessible to both CPU and GPU, enabling memory‑bound AI workloads like long‑context LLMs, retrieval‑augmented generation.
