Chip comparison
NVIDIA B200 (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 B200 (Blackwell) | NVIDIA H200 Tensor Core GPU |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4N |
| Transistors (B) | 208 | 80 |
| Die size | — | 814 mm² |
| TDP | 1000 W | 700 W |
| Memory | 192 GB HBM3e | 141 GB HBM3e |
| Memory bandwidth | 8,000 GB/s | 4,800 GB/s |
| FP16 (dense) | 2,250 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 2,250 TFLOPS | 989 TFLOPS |
| FP8 (dense) | 4,500 TFLOPS | 1,979 TFLOPS |
| INT8 (dense) | 4,500 TOPS | 1,979 TOPS |
| Form factor | SXM6 | SXM5 |
| Announced | 2024-03-18 | 2023-11-13 |
| Released | 2024-11-01 | 2024-03-01 |
Robots running NVIDIA B200 (Blackwell)
No robots publicly running it yet.
Robots running NVIDIA H200 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA B200 (Blackwell)
Data centers with NVIDIA H200 Tensor Core GPU
Common questions
NVIDIA B200 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which is faster for training?
NVIDIA B200 (Blackwell) has 2.27x the dense FP8 throughput of the other (NVIDIA B200 (Blackwell): 4,500 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 B200 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which has more memory?
NVIDIA B200 (Blackwell) carries more HBM (NVIDIA B200 (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 B200 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W); NVIDIA H200 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA B200 (Blackwell) vs NVIDIA H200 Tensor Core GPU: which is more widely used?
NVIDIA B200 (Blackwell): 0 robots and 3 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 B200 (Blackwell) full page · NVIDIA H200 Tensor Core GPU full page.