Chip comparison
NVIDIA A100 Tensor Core GPU 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 A100 Tensor Core GPU | NVIDIA B200 (Blackwell) |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| Transistors (B) | 54 | 208 |
| Die size | 826 mm² | — |
| TDP | 400 W | 1000 W |
| Memory | 80 GB HBM2e | 192 GB HBM3e |
| Memory bandwidth | 2,039 GB/s | 8,000 GB/s |
| FP16 (dense) | 312 TFLOPS | 2,250 TFLOPS |
| BF16 (dense) | 312 TFLOPS | 2,250 TFLOPS |
| FP8 (dense) | — | 4,500 TFLOPS |
| INT8 (dense) | 624 TOPS | 4,500 TOPS |
| Launch price (list) | $10,000 | — |
| Form factor | SXM4 | SXM6 |
| Announced | 2020-05-14 | 2024-03-18 |
| Released | 2020-05-14 | 2024-11-01 |
Robots running NVIDIA A100 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA B200 (Blackwell)
No robots publicly running it yet.
Data centers with NVIDIA A100 Tensor Core GPU
No data centers publicly running it yet.
Data centers with NVIDIA B200 (Blackwell)
Common questions
NVIDIA A100 Tensor Core GPU vs NVIDIA B200 (Blackwell): which is faster for training?
NVIDIA B200 (Blackwell) has 14.42x the dense FP16/BF16 throughput of the other (NVIDIA A100 Tensor Core GPU: 312 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 A100 Tensor Core GPU vs NVIDIA B200 (Blackwell): which has more memory?
NVIDIA B200 (Blackwell) carries more HBM (NVIDIA A100 Tensor Core GPU: 80 GB HBM2e; 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 A100 Tensor Core GPU vs NVIDIA B200 (Blackwell): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W); NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA A100 Tensor Core GPU vs NVIDIA B200 (Blackwell): which is more widely used?
NVIDIA A100 Tensor Core GPU: 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 A100 Tensor Core GPU full page · NVIDIA B200 (Blackwell) full page.