H100 and MI300X are different server platforms. The useful comparison is a complete system running the same workload, with current written quotes and support terms.
Key differences
| Item | NVIDIA HGX H100 SXM | AMD Instinct MI300X |
|---|---|---|
| GPU memory | 80 GB HBM3 | 192 GB HBM3 |
| Platform | HGX SXM | OAM / UBB 2.0 |
| Software ecosystem | CUDA | ROCm |
NVIDIA publishes the H100 HGX specifications. AMD publishes the MI300X platform specifications.
The MI300X memory capacity can reduce model sharding for some workloads. H100 may fit better when you already use CUDA-specific libraries or an established Hopper fleet. Speed and cost per token require a benchmark on your model, precision, framework, and GPU count.
Questions for a supplier
- Which OEM server and part numbers are quoted?
- What are the CPU, RAM, storage, and network configurations?
- What cooling and rack power does the system require?
- What support and warranty terms apply?
- Is the stated lead time backed by allocation for your quantity and destination?
A price per GPU is insufficient for this comparison. Ask for current matched quotes for complete MI300X and H100 systems.
