Chip comparison
NVIDIA B100 (Blackwell) vs NVIDIA B200 (Blackwell)
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 B200 (Blackwell) |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4NP |
| Transistors (B) | — | 208 |
| TDP | 700 W | 1000 W |
| Memory | 192 GB HBM3e | 192 GB HBM3e |
| Memory bandwidth | 8,000 GB/s | 8,000 GB/s |
| FP16 (dense) | 1,750 TFLOPS | 2,250 TFLOPS |
| BF16 (dense) | 1,750 TFLOPS | 2,250 TFLOPS |
| FP8 (dense) | 3,500 TFLOPS | 4,500 TFLOPS |
| INT8 (dense) | — | 4,500 TOPS |
| Form factor | SXM6 (700 W envelope) | SXM6 |
| Announced | 2024-03-18 | 2024-03-18 |
| Released | 2024-11-01 | 2024-11-01 |
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Robots running NVIDIA B200 (Blackwell)
No robots publicly running it yet.
Data centers with NVIDIA B100 (Blackwell)
No data centers publicly running it yet.
Data centers with NVIDIA B200 (Blackwell)
Common questions
NVIDIA B100 (Blackwell) vs NVIDIA B200 (Blackwell): which is faster for training?
NVIDIA B200 (Blackwell) has 1.29x the dense FP8 throughput of the other (NVIDIA B100 (Blackwell): 3,500 TFLOPS; NVIDIA B200 (Blackwell): 4,500 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 B200 (Blackwell): which has more memory?
NVIDIA B200 (Blackwell) carries more HBM (NVIDIA B100 (Blackwell): 192 GB HBM3e; NVIDIA B200 (Blackwell): 192 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 B200 (Blackwell): which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W); NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA B100 (Blackwell) vs NVIDIA B200 (Blackwell): which is more widely used?
NVIDIA B100 (Blackwell): 0 robots and 0 data centers publicly running it. NVIDIA B200 (Blackwell): 0 robots and 3 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 B200 (Blackwell) full page.