NVIDIA H100 SXM: specs, pricing and what it can run
The default training and high-throughput inference part for the 2023–2025 generation, and still the unit most capacity is quoted in.
Specifications
| Spec | NVIDIA H100 SXM |
|---|---|
| Architecture | Hopper |
| Released | 2022 |
| Memory | 80 GB HBM3 |
| Memory bandwidth | 3,350 GB/s |
| Dense FP16 | 989 TFLOPS |
| FP8 tensor cores | Yes |
| Board power | 700 W |
| Interconnect | NVLink 4.0 (900 GB/s) |
| Segment | datacenter |
What fits in 80 GB
Weights only, at 85% of nominal capacity to leave room for the KV cache and activations. Long-context serving needs materially more headroom than this table implies.
| Quantisation | Largest model (weights only) |
|---|---|
| FP16 | ~36B parameters |
| FP8 / INT8 | ~73B parameters |
| 4-bit | ~146B parameters |
Rental cost
Indicative on-demand pricing runs roughly $1.90–$4.50 per GPU-hour depending on provider, region, and commitment. Spot and reserved capacity sit well below that band. These are ranges rather than quotes: street prices move week to week, so check live cloud price feed before budgeting.