Chip comparison
NVIDIA B100 (Blackwell) vs NVIDIA H200 Tensor Core GPU
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | NVIDIA B100 (Blackwell) | NVIDIA H200 Tensor Core GPU |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 700 W | 700 W |
| Memory | 192 GB HBM3e | 141 GB HBM3e |
| Memory bandwidth | 8,000 GB/s | 4,800 GB/s |
| FP16 (dense) | 1,750 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 1,750 TFLOPS | 989 TFLOPS |
| FP8 (dense) | 3,500 TFLOPS | 1,979 TFLOPS |
| INT8 (dense) | — | 1,979 TOPS |
| Form factor | SXM6 (700 W envelope) | SXM5 |
| Announced | 2024-03-18 | 2023-11-13 |
| Released | 2024-11-01 | 2024-03-01 |
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Robots running NVIDIA H200 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA B100 (Blackwell)
No data centers publicly running it yet.
Data centers with NVIDIA H200 Tensor Core GPU
Common questions
NVIDIA B100 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which is faster for training?
NVIDIA B100 (Blackwell) has 1.77x the dense FP8 throughput of the other (NVIDIA B100 (Blackwell): 3,500 TFLOPS; NVIDIA H200 Tensor Core GPU: 1,979 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA B100 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (NVIDIA B100 (Blackwell): 192 GB HBM3e; NVIDIA H200 Tensor Core GPU: 141 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA B100 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W); NVIDIA H200 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA B100 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which is more widely used?
NVIDIA B100 (Blackwell): 0 robots and 0 data centers publicly running it. NVIDIA H200 Tensor Core GPU: 0 robots and 4 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA B100 (Blackwell) full page · NVIDIA H200 Tensor Core GPU full page.