Layer 2 · head to head
NVIDIA H100 vs NVIDIA H200
The same architecture with 61 GB and 1.45 TB/s more. Whether that matters is decided entirely by your model size.
| NVIDIA H100 | NVIDIA H200 | |
|---|---|---|
| Can you get it | Rentable by the hour from multiple clouds; purchasable at scale. | Rentable by the hour from multiple clouds; purchasable at scale. |
| Memory | 80 GB HBM3 | 141 GB HBM3E |
| Bandwidth | 3.35 TB/s | 4.8 TB/s |
| Compute | Hopper-generation FP8 | Hopper-generation FP8 |
| Power | 700 W | 700 W |
| Interconnect | NVLink 4 | NVLink 4 |
| Software | CUDA | CUDA |
| Workload | both | both |
NVIDIA H100
For: The reference point everything else is benchmarked against, and still the most rentable accelerator on earth.
The catch: 80 GB is the binding limit. Large models need multi-GPU sharding that a 141 GB or 288 GB part would not, and sharding costs you latency and complexity.
Economics: The benchmark denominator. When a vendor claims '2.6x an H100', this is the H100 they mean.
NVIDIA H200
For: The value tier now that Blackwell is shipping. Widely available on every GPU cloud, which H100 scarcity once made untrue.
The catch: A generation behind on throughput per watt, which matters more every quarter as power becomes the constraint rather than capital.
Economics: The price per GPU-hour has fallen hard as Blackwell landed. For inference on models that fit in 141 GB this is often the cheapest sane option.
Before either — can you power it?
700 W against 700 W. In 2026 that comparison usually matters more than the FLOPS one: the US interconnection queue exceeds 2,600 GW with waits approaching five years, and roughly 80% of projects withdraw before energising.
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