Chip comparison
Cerebras WSE-3 (Wafer-Scale Engine 3) 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 | Cerebras WSE-3 (Wafer-Scale Engine 3) | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | TSMC N5 | Samsung 7LPP |
| Transistors (B) | 4000 | — |
| Die size | 46225 mm² | — |
| TDP | 23000 W | 90 W |
| Memory | 44 GB on-die SRAM | 16 GB GDDR6 |
| Memory bandwidth | 21,000,000 GB/s | — |
| FP16 (dense) | 62,500 TFLOPS | — |
| INT8 (dense) | — | 300 TOPS |
| Form factor | wafer-scale (single-wafer system) | Auto-board (dual-SoC) |
| Announced | 2024-03-13 | 2023-01-01 |
| Released | 2024-04-01 | 2023-02-01 |
Robots running Cerebras WSE-3 (Wafer-Scale Engine 3)
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with Cerebras WSE-3 (Wafer-Scale Engine 3)
No data centers publicly running it yet.
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
Cerebras WSE-3 (Wafer-Scale Engine 3) vs Tesla HW4 (FSD Computer 2): which has more memory?
Cerebras WSE-3 (Wafer-Scale Engine 3) carries more HBM (Cerebras WSE-3 (Wafer-Scale Engine 3): 44 GB on-die SRAM; 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.
Cerebras WSE-3 (Wafer-Scale Engine 3) vs Tesla HW4 (FSD Computer 2): which is more widely used?
Cerebras WSE-3 (Wafer-Scale Engine 3): 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 · Cerebras WSE-3 (Wafer-Scale Engine 3) full page · Tesla HW4 (FSD Computer 2) full page.