Chip comparison
NVIDIA Jetson AGX Orin vs NVIDIA V100 Tensor Core GPU
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 | NVIDIA V100 Tensor Core GPU |
|---|---|---|
| Process node | Samsung 8N | TSMC 12FFN |
| Transistors (B) | — | 21.1 |
| Die size | — | 815 mm² |
| TDP | 60 W | 300 W |
| Memory | 64 GB LPDDR5 | 32 GB HBM2 |
| Memory bandwidth | 204.8 GB/s | 900 GB/s |
| FP16 (dense) | — | 125 TFLOPS |
| INT8 (dense) | 275 TOPS | — |
| Form factor | Module (AGX Orin 64GB) | SXM2 / PCIe |
| Announced | 2022-03-22 | 2017-05-10 |
| Released | 2022-07-01 | 2017-12-01 |
Robots running NVIDIA Jetson AGX Orin
Robots running NVIDIA V100 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Data centers with NVIDIA V100 Tensor Core GPU
No data centers publicly running it yet.
Common questions
NVIDIA Jetson AGX Orin vs NVIDIA V100 Tensor Core GPU: which has more memory?
NVIDIA Jetson AGX Orin carries more HBM (NVIDIA Jetson AGX Orin: 64 GB LPDDR5; NVIDIA V100 Tensor Core GPU: 32 GB HBM2). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA Jetson AGX Orin vs NVIDIA V100 Tensor Core GPU: which is more widely used?
NVIDIA Jetson AGX Orin: 9 robots and 0 data centers publicly running it. NVIDIA V100 Tensor Core GPU: 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 · NVIDIA V100 Tensor Core GPU full page.