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AI Infrastructure
B200 vs H100: GPU Inference
Performance, cost-per-token, and deployment patterns for enterprise AI.
August 14, 2026•10 min read
The Short Answer
B200 wins on throughput and cost. For enterprise inference at scale, B200 is the clear choice.
Key Differences
- B200: 20 PFLOPs, 960 GB/s, $0.0008 per token
- H100: 15 PFLOPs, 850 GB/s, $0.0013 per token
- B200 best for inference; H100 for training