Chip comparison
NVIDIA B100 (Blackwell) vs NVIDIA L40S
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 L40S |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4N |
| Transistors (B) | — | 76.3 |
| TDP | 700 W | 350 W |
| Memory | 192 GB HBM3e | 48 GB GDDR6 |
| Memory bandwidth | 8,000 GB/s | 864 GB/s |
| FP16 (dense) | 1,750 TFLOPS | 362 TFLOPS |
| BF16 (dense) | 1,750 TFLOPS | 362 TFLOPS |
| FP8 (dense) | 3,500 TFLOPS | 733 TFLOPS |
| INT8 (dense) | — | 733 TOPS |
| Form factor | SXM6 (700 W envelope) | PCIe |
| Announced | 2024-03-18 | 2023-08-08 |
| Released | 2024-11-01 | — |
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Robots running NVIDIA L40S
No robots publicly running it yet.
Data centers with NVIDIA B100 (Blackwell)
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Data centers with NVIDIA L40S
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Common questions
NVIDIA B100 (Blackwell) vs NVIDIA L40S: which is faster for training?
NVIDIA B100 (Blackwell) has 4.77x the dense FP8 throughput of the other (NVIDIA B100 (Blackwell): 3,500 TFLOPS; NVIDIA L40S: 733 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 L40S: which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (NVIDIA B100 (Blackwell): 192 GB HBM3e; NVIDIA L40S: 48 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA B100 (Blackwell) vs NVIDIA L40S: which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W); NVIDIA L40S 2.09 (733 ÷ 350 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · NVIDIA B100 (Blackwell) full page · NVIDIA L40S full page.