Chip comparison
AMD Instinct MI300X 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 MI300X | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N5 + N6 (chiplet) | TSMC N7 |
| Transistors (B) | 153 | 50 |
| Die size | — | 645 mm² |
| TDP | 750 W | 400 W |
| Memory | 192 GB HBM3 | — |
| Memory bandwidth | 5,300 GB/s | — |
| FP16 (dense) | 1,307 TFLOPS | — |
| BF16 (dense) | 1,307 TFLOPS | 362 TFLOPS |
| FP8 (dense) | 2,614 TFLOPS | 362 TFLOPS |
| INT8 (dense) | 2,614 TOPS | — |
| Launch price (list) | $15,000 | — |
| Form factor | OAM | Training tile (25 D1 chips per tile) |
| Announced | 2023-12-06 | 2021-08-19 |
| Released | 2024-01-01 | 2023-07-01 |
Robots running AMD Instinct MI300X
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with AMD Instinct MI300X
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
AMD Instinct MI300X vs Tesla Dojo D1: which is faster for training?
AMD Instinct MI300X has 7.22x the dense FP8 throughput of the other (AMD Instinct MI300X: 2,614 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 MI300X vs Tesla Dojo D1: which is more power-efficient?
Dense FP8 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). AMD Instinct MI300X wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AMD Instinct MI300X full page · Tesla Dojo D1 full page.