Chip comparison
Tenstorrent Blackhole 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 | Tenstorrent Blackhole | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N6 | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 300 W | 400 W |
| Memory | 32 GB GDDR6 | — |
| Memory bandwidth | 512 GB/s | — |
| FP16 (dense) | 745 TFLOPS | — |
| BF16 (dense) | — | 362 TFLOPS |
| FP8 (dense) | — | 362 TFLOPS |
| INT8 (dense) | 2,980 TOPS | — |
| Form factor | PCIe | Training tile (25 D1 chips per tile) |
| Announced | 2024-07-01 | 2021-08-19 |
| Released | 2025-01-01 | 2023-07-01 |
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
Tenstorrent Blackhole vs Tesla Dojo D1: which is faster for training?
Tenstorrent Blackhole has 2.06x the dense FP16/BF16 throughput of the other (Tenstorrent Blackhole: 745 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.
Tenstorrent Blackhole vs Tesla Dojo D1: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Tenstorrent Blackhole 2.48 (745 ÷ 300 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). Tenstorrent Blackhole wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Tenstorrent Blackhole full page · Tesla Dojo D1 full page.