Chip comparison
NVIDIA H100 Tensor Core GPU 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 H100 Tensor Core GPU | NVIDIA L40S |
|---|---|---|
| Process node | TSMC 4N | TSMC 4N |
| Transistors (B) | 80 | 76.3 |
| Die size | 814 mm² | — |
| TDP | 700 W | 350 W |
| Memory | 80 GB HBM3 | 48 GB GDDR6 |
| Memory bandwidth | 3,350 GB/s | 864 GB/s |
| FP16 (dense) | 989 TFLOPS | 362 TFLOPS |
| BF16 (dense) | 989 TFLOPS | 362 TFLOPS |
| FP8 (dense) | 1,979 TFLOPS | 733 TFLOPS |
| INT8 (dense) | 1,979 TOPS | 733 TOPS |
| Launch price (list) | $30,000 | — |
| Form factor | SXM5 | PCIe |
| Announced | 2022-03-22 | 2023-08-08 |
| Released | 2022-10-13 | — |
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA L40S
No robots publicly running it yet.
Data centers with NVIDIA H100 Tensor Core GPU
Data centers with NVIDIA L40S
No data centers publicly running it yet.
Common questions
NVIDIA H100 Tensor Core GPU vs NVIDIA L40S: which is faster for training?
NVIDIA H100 Tensor Core GPU has 2.70x the dense FP8 throughput of the other (NVIDIA H100 Tensor Core GPU: 1,979 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 H100 Tensor Core GPU vs NVIDIA L40S: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (NVIDIA H100 Tensor Core GPU: 80 GB HBM3; NVIDIA L40S: 48 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA H100 Tensor Core GPU vs NVIDIA L40S: which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W); NVIDIA L40S 2.09 (733 ÷ 350 W). NVIDIA H100 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA H100 Tensor Core GPU vs NVIDIA L40S: which is more widely used?
NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers publicly running it. NVIDIA L40S: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA H100 Tensor Core GPU full page · NVIDIA L40S full page.