Chip comparison
NVIDIA Jetson AGX Orin vs SambaNova SN40L
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 | NVIDIA Jetson AGX Orin | SambaNova SN40L |
|---|---|---|
| Process node | Samsung 8N | TSMC N5 |
| TDP | 60 W | 700 W |
| Memory | 64 GB LPDDR5 | 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5) |
| Memory bandwidth | 204.8 GB/s | — |
| FP16 (dense) | — | 638 TFLOPS |
| FP8 (dense) | — | 1,250 TFLOPS |
| INT8 (dense) | 275 TOPS | — |
| Form factor | Module (AGX Orin 64GB) | PCIe (SN40L DataScale system) |
| Announced | 2022-03-22 | 2023-09-19 |
| Released | 2022-07-01 | 2024-01-01 |
Robots running NVIDIA Jetson AGX Orin
Robots running SambaNova SN40L
No robots publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Data centers with SambaNova SN40L
No data centers publicly running it yet.
Common questions
NVIDIA Jetson AGX Orin vs SambaNova SN40L: which has more memory?
SambaNova SN40L carries more HBM (NVIDIA Jetson AGX Orin: 64 GB LPDDR5; SambaNova SN40L: 1500 GB DDR5 (three-tier: 64 MB SRAM + 64 GB HBM3 + 1.5 TB DDR5)). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA Jetson AGX Orin vs SambaNova SN40L: which is more widely used?
NVIDIA Jetson AGX Orin: 9 robots and 0 data centers publicly running it. SambaNova SN40L: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA Jetson AGX Orin full page · SambaNova SN40L full page.