Chip comparison
Google TPU v5e 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 v5e | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | — | Samsung 7LPP |
| TDP | 170 W | 90 W |
| Memory | 16 GB HBM2 | 16 GB GDDR6 |
| Memory bandwidth | 819 GB/s | — |
| BF16 (dense) | 197 TFLOPS | — |
| INT8 (dense) | 393 TOPS | 300 TOPS |
| Form factor | OAM (v5e pod, up to 256 chips) | Auto-board (dual-SoC) |
| Announced | 2023-08-29 | 2023-01-01 |
| Released | 2023-11-01 | 2023-02-01 |
Robots running Google TPU v5e
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with Google TPU v5e
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
Google TPU v5e vs Tesla HW4 (FSD Computer 2): which has more memory?
Tesla HW4 (FSD Computer 2) carries more HBM (Google TPU v5e: 16 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 v5e vs Tesla HW4 (FSD Computer 2): which is more widely used?
Google TPU v5e: 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 v5e full page · Tesla HW4 (FSD Computer 2) full page.