Chip comparison
SambaNova SN40L 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 | SambaNova SN40L | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N5 | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 700 W | 400 W |
| Memory | 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5) | — |
| FP16 (dense) | 638 TFLOPS | — |
| BF16 (dense) | — | 362 TFLOPS |
| FP8 (dense) | 1,250 TFLOPS | 362 TFLOPS |
| Form factor | PCIe (SN40L DataScale system) | Training tile (25 D1 chips per tile) |
| Announced | 2023-09-19 | 2021-08-19 |
| Released | 2024-01-01 | 2023-07-01 |
Robots running SambaNova SN40L
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with SambaNova SN40L
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
SambaNova SN40L vs Tesla Dojo D1: which is faster for training?
SambaNova SN40L has 3.45x the dense FP8 throughput of the other (SambaNova SN40L: 1,250 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.
SambaNova SN40L vs Tesla Dojo D1: which is more power-efficient?
Dense FP8 TFLOPS per watt: SambaNova SN40L 1.79 (1,250 ÷ 700 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). SambaNova SN40L wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · SambaNova SN40L full page · Tesla Dojo D1 full page.