Chip comparison
NVIDIA A100 Tensor Core GPU vs NVIDIA B100 (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 B100 (Blackwell) |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| Transistors (B) | 54 | — |
| Die size | 826 mm² | — |
| TDP | 400 W | 700 W |
| Memory | 80 GB HBM2e | 192 GB HBM3e |
| Memory bandwidth | 2,039 GB/s | 8,000 GB/s |
| FP16 (dense) | 312 TFLOPS | 1,750 TFLOPS |
| BF16 (dense) | 312 TFLOPS | 1,750 TFLOPS |
| FP8 (dense) | — | 3,500 TFLOPS |
| INT8 (dense) | 624 TOPS | — |
| Launch price (list) | $10,000 | — |
| Form factor | SXM4 | SXM6 (700 W envelope) |
| Announced | 2020-05-14 | 2024-03-18 |
| Released | 2020-05-14 | 2024-11-01 |
Robots running NVIDIA A100 Tensor Core GPU
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Robots running NVIDIA B100 (Blackwell)
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Data centers with NVIDIA A100 Tensor Core GPU
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Data centers with NVIDIA B100 (Blackwell)
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Common questions
NVIDIA A100 Tensor Core GPU vs NVIDIA B100 (Blackwell): which is faster for training?
NVIDIA B100 (Blackwell) has 11.22x the dense FP16/BF16 throughput of the other (NVIDIA A100 Tensor Core GPU: 312 TFLOPS; NVIDIA B100 (Blackwell): 3,500 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 B100 (Blackwell): which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (NVIDIA A100 Tensor Core GPU: 80 GB HBM2e; NVIDIA B100 (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 B100 (Blackwell): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W); NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · NVIDIA A100 Tensor Core GPU full page · NVIDIA B100 (Blackwell) full page.