Chip comparison
Google TPU v5p 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 v5p | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | — | Samsung 7LPP |
| TDP | 300 W | 90 W |
| Memory | 95 GB HBM2e | 16 GB GDDR6 |
| Memory bandwidth | 2,765 GB/s | — |
| BF16 (dense) | 459 TFLOPS | — |
| INT8 (dense) | 918 TOPS | 300 TOPS |
| Form factor | OAM (per-chip in v5p pod) | Auto-board (dual-SoC) |
| Announced | 2023-12-06 | 2023-01-01 |
| Released | 2024-01-01 | 2023-02-01 |
Robots running Google TPU v5p
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with Google TPU v5p
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
Google TPU v5p vs Tesla HW4 (FSD Computer 2): which has more memory?
Google TPU v5p carries more HBM (Google TPU v5p: 95 GB HBM2e; 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 v5p vs Tesla HW4 (FSD Computer 2): which is more widely used?
Google TPU v5p: 0 robots and 1 data center 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 v5p full page · Tesla HW4 (FSD Computer 2) full page.