H100
The reference is H100 SXM 80 GB. H100 NVL uses a different memory configuration; an offer must identify the exact variant.
Explore H100 →GLOBALATLAS AI · H100 vs H200
H100 vs H200
Compare H100 and H200 memory, architecture and deployment considerations using manufacturer specifications.
| Parameter | H100 | H200 |
|---|---|---|
| GPU memory | 80 GB | 141 GB |
| Memory technology | HBM3 | HBM3e |
| Architecture | Hopper | Hopper |
| Workload profile | AI training, inference and accelerated computing | Memory-intensive LLM inference and scientific computing |
| Reference variant | The reference is H100 SXM 80 GB. H100 NVL uses a different memory configuration; an offer must identify the exact variant. | 141 GB is GPU memory, not system RAM. Confirm the number of GPUs and required interconnect before choosing a training topology. |
| Price | Price on requestConfiguration and region to be confirmed | Price on requestConfiguration and region to be confirmed |
Which configuration fits your workload?
H200
H200 is a candidate when an H100 memory budget is restrictive. Its larger VRAM does not automatically establish more requests per second.
Explore H200 →Compare the same workload
Use the same model or scene, precision, batch size and software version. Record throughput, latency, peak memory and total server cost. This table contains hardware specifications, not measured application performance.