Chip comparison
NVIDIA L40S vs Tesla Dojo D1
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 L40S | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC 4N | TSMC N7 |
| Transistors (B) | 76.3 | 50 |
| Die size | — | 645 mm² |
| TDP | 350 W | 400 W |
| Memory | 48 GB GDDR6 | — |
| Memory bandwidth | 864 GB/s | — |
| FP16 (dense) | 362 TFLOPS | — |
| BF16 (dense) | 362 TFLOPS | 362 TFLOPS |
| FP8 (dense) | 733 TFLOPS | 362 TFLOPS |
| INT8 (dense) | 733 TOPS | — |
| Form factor | PCIe | Training tile (25 D1 chips per tile) |
| Announced | 2023-08-08 | 2021-08-19 |
| Released | — | 2023-07-01 |
Robots running NVIDIA L40S
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with NVIDIA L40S
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
NVIDIA L40S vs Tesla Dojo D1: which is faster for training?
NVIDIA L40S has 2.02x the dense FP8 throughput of the other (NVIDIA L40S: 733 TFLOPS; Tesla Dojo D1: 362 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA L40S vs Tesla Dojo D1: which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA L40S 2.09 (733 ÷ 350 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). NVIDIA L40S wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · NVIDIA L40S full page · Tesla Dojo D1 full page.