Chip comparison
AMD Instinct MI300X vs Google TPU v6 (Trillium)
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 | Google TPU v6 (Trillium) |
|---|---|---|
| Process node | TSMC N5 + N6 (chiplet) | — |
| Transistors (B) | 153 | — |
| TDP | 750 W | 200 W |
| Memory | 192 GB HBM3 | 32 GB HBM3 |
| Memory bandwidth | 5,300 GB/s | 1,600 GB/s |
| FP16 (dense) | 1,307 TFLOPS | — |
| BF16 (dense) | 1,307 TFLOPS | 918 TFLOPS |
| FP8 (dense) | 2,614 TFLOPS | 1,836 TFLOPS |
| INT8 (dense) | 2,614 TOPS | 1,836 TOPS |
| Launch price (list) | $15,000 | — |
| Form factor | OAM | OAM (Trillium pod, up to 256 chips) |
| Announced | 2023-12-06 | 2024-05-14 |
| Released | 2024-01-01 | 2024-12-01 |
Robots running AMD Instinct MI300X
No robots publicly running it yet.
Robots running Google TPU v6 (Trillium)
No robots publicly running it yet.
Data centers with AMD Instinct MI300X
No data centers publicly running it yet.
Data centers with Google TPU v6 (Trillium)
Common questions
AMD Instinct MI300X vs Google TPU v6 (Trillium): which is faster for training?
AMD Instinct MI300X has 1.42x the dense FP8 throughput of the other (AMD Instinct MI300X: 2,614 TFLOPS; Google TPU v6 (Trillium): 1,836 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 Google TPU v6 (Trillium): which has more memory?
AMD Instinct MI300X carries more HBM (AMD Instinct MI300X: 192 GB HBM3; Google TPU v6 (Trillium): 32 GB HBM3). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AMD Instinct MI300X vs Google TPU v6 (Trillium): which is more power-efficient?
Dense FP8 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); Google TPU v6 (Trillium) 9.18 (1,836 ÷ 200 W). Google TPU v6 (Trillium) wins at the die level; system-level efficiency also depends on cooling and interconnect.
AMD Instinct MI300X vs Google TPU v6 (Trillium): which is more widely used?
AMD Instinct MI300X: 0 robots and 0 data centers publicly running it. Google TPU v6 (Trillium): 0 robots and 1 data center. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · AMD Instinct MI300X full page · Google TPU v6 (Trillium) full page.