Chip comparison
Cerebras WSE-3 (Wafer-Scale Engine 3) vs NVIDIA Jetson AGX Orin
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) | NVIDIA Jetson AGX Orin |
|---|---|---|
| Process node | TSMC N5 | Samsung 8N |
| Transistors (B) | 4000 | — |
| Die size | 46225 mm² | — |
| TDP | 23000 W | 60 W |
| Memory | 44 GB on-die SRAM | 64 GB LPDDR5 |
| Memory bandwidth | 21,000,000 GB/s | 204.8 GB/s |
| FP16 (dense) | 62,500 TFLOPS | — |
| INT8 (dense) | — | 275 TOPS |
| Form factor | wafer-scale (single-wafer system) | Module (AGX Orin 64GB) |
| Announced | 2024-03-13 | 2022-03-22 |
| Released | 2024-04-01 | 2022-07-01 |
Robots running Cerebras WSE-3 (Wafer-Scale Engine 3)
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with Cerebras WSE-3 (Wafer-Scale Engine 3)
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
Cerebras WSE-3 (Wafer-Scale Engine 3) vs NVIDIA Jetson AGX Orin: which has more memory?
NVIDIA Jetson AGX Orin carries more HBM (Cerebras WSE-3 (Wafer-Scale Engine 3): 44 GB on-die SRAM; NVIDIA Jetson AGX Orin: 64 GB LPDDR5). 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 NVIDIA Jetson AGX Orin: which is more widely used?
Cerebras WSE-3 (Wafer-Scale Engine 3): 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX Orin: 9 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 · NVIDIA Jetson AGX Orin full page.