H200 keeps the Hopper software ecosystem and increases GPU memory capacity and bandwidth. The decision starts with your model's memory use and the exact OEM systems available to you.
| HGX specification | H100 SXM | H200 SXM |
|---|---|---|
| Memory per GPU | 80 GB HBM3 | 141 GB HBM3e |
| Memory bandwidth per GPU | 3.35 TB/s | 4.8 TB/s |
| Eight-GPU node memory | 640 GB | 1.128 TB |
Source: NVIDIA HGX reference architecture.
The H200's extra memory can help a model fit with fewer GPUs or support longer context and larger batches. NVIDIA's H200 inference analysis shows that this can reduce parallelism for a specific Llama 2 70B workload. Your result will depend on your model and serving stack.
If you already operate H100 systems, confirm whether an H200 server can share the same networking, rack power, and management processes. A GPU module is not interchangeable across every chassis. Ask the OEM for a validated build.
Quote comparison
Compare complete system price, delivery, warranty, storage, network, and support. Get current prices and lead times for the specific H100 and H200 builds. Include the target date and destination in your request.
