Chip comparison
Google TPU v4 vs Tesla HW4 (FSD Computer 2)
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 | Google TPU v4 | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | TSMC N7 | Samsung 7LPP |
| TDP | 192 W | 90 W |
| Memory | 32 GB HBM2 | 16 GB GDDR6 |
| Memory bandwidth | 1,200 GB/s | — |
| BF16 (dense) | 275 TFLOPS | — |
| INT8 (dense) | 275 TOPS | 300 TOPS |
| Form factor | OAM (per-chip in v4 pod) | Auto-board (dual-SoC) |
| Announced | 2021-05-18 | 2023-01-01 |
| Released | 2022-05-01 | 2023-02-01 |
Robots running Google TPU v4
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with Google TPU v4
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
Google TPU v4 vs Tesla HW4 (FSD Computer 2): which has more memory?
Google TPU v4 carries more HBM (Google TPU v4: 32 GB HBM2; Tesla HW4 (FSD Computer 2): 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v4 vs Tesla HW4 (FSD Computer 2): which is more widely used?
Google TPU v4: 0 robots and 2 data centers publicly running it. Tesla HW4 (FSD Computer 2): 3 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v4 full page · Tesla HW4 (FSD Computer 2) full page.