Chip comparison
Google TPU v7 (Ironwood) 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 v7 (Ironwood) | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | — | Samsung 7LPP |
| TDP | 700 W | 90 W |
| Memory | 192 GB HBM3e | 16 GB GDDR6 |
| Memory bandwidth | 7,400 GB/s | — |
| BF16 (dense) | 4,614 TFLOPS | — |
| FP8 (dense) | 9,228 TFLOPS | — |
| INT8 (dense) | — | 300 TOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | Auto-board (dual-SoC) |
| Announced | 2025-04-09 | 2023-01-01 |
| Released | 2025-12-01 | 2023-02-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs Tesla HW4 (FSD Computer 2): which has more memory?
Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; 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 v7 (Ironwood) vs Tesla HW4 (FSD Computer 2): which is more widely used?
Google TPU v7 (Ironwood): 0 robots and 0 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 v7 (Ironwood) full page · Tesla HW4 (FSD Computer 2) full page.