Chip comparison
AMD Instinct MI250X 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 | AMD Instinct MI250X | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N6 | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 560 W | 400 W |
| Memory | 128 GB HBM2e | — |
| Memory bandwidth | 3,200 GB/s | — |
| FP16 (dense) | 383 TFLOPS | — |
| BF16 (dense) | 383 TFLOPS | 362 TFLOPS |
| FP8 (dense) | — | 362 TFLOPS |
| INT8 (dense) | 383 TOPS | — |
| Form factor | OAM | Training tile (25 D1 chips per tile) |
| Announced | 2021-11-08 | 2021-08-19 |
| Released | 2022-06-01 | 2023-07-01 |
Robots running AMD Instinct MI250X
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with AMD Instinct MI250X
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
AMD Instinct MI250X vs Tesla Dojo D1: which is faster for training?
AMD Instinct MI250X has 1.06x the dense FP16/BF16 throughput of the other (AMD Instinct MI250X: 383 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.
AMD Instinct MI250X vs Tesla Dojo D1: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI250X 0.68 (383 ÷ 560 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). Tesla Dojo D1 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AMD Instinct MI250X full page · Tesla Dojo D1 full page.