H100 vs H200 vs B200 for AI Hosting
For hosting large models at scale — on-prem or in your own cloud — the choice is between Hopper (H100/H200) and Blackwell (B200). The deciding factors are memory capacity, bandwidth and availability. B200 figures are provisional.
Memory and bandwidth
H100 has 80GB HBM3; H200 raises that to 141GB HBM3e with higher bandwidth, easing single-card serving of very large models. B200 (Blackwell) pushes memory and bandwidth further again.
Generation and availability
H100 is the proven workhorse and most available; H200 is the memory-upgraded Hopper; B200 is the next-gen frontier part — verify current availability and specs before planning.
How to choose
Pick H100 for proven, available capacity; H200 when you need more memory per card for large single-model serving; B200 for frontier-scale training/serving if you can source it.
Featured chips
Recommended hardware
- 100/100NVIDIA B200 (placeholder)NVIDIA · Datacenter GPUs
- 100/100Supermicro 8x H100 SuperServerSupermicro · AI Servers
- 100/100Dell PowerEdge XE9680Dell · AI Servers
- 100/100AMD Instinct MI300XAMD · Datacenter GPUs
- 99/100Cloud B200 (Blackwell profile, to verify)Cloud · Cloud GPU Profiles
- 97/100NVIDIA H200 (141GB)NVIDIA · Datacenter GPUs
Frequently asked questions
What's the difference between H100 and H200?+
Both are Hopper; the H200 has more memory (141GB HBM3e vs 80GB HBM3) and higher bandwidth, helping it serve very large models on a single card.
Is B200 better than H200 for AI hosting?+
B200 (Blackwell) advances memory and throughput over Hopper, but it's newer and harder to source, and its specs here are provisional. H100/H200 are the proven choices today.