Chip comparison
NVIDIA A100 Tensor Core GPU 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 | NVIDIA A100 Tensor Core GPU | NVIDIA Jetson AGX Orin |
|---|---|---|
| Process node | TSMC N7 | Samsung 8N |
| Transistors (B) | 54 | — |
| Die size | 826 mm² | — |
| TDP | 400 W | 60 W |
| Memory | 80 GB HBM2e | 64 GB LPDDR5 |
| Memory bandwidth | 2,039 GB/s | 204.8 GB/s |
| FP16 (dense) | 312 TFLOPS | — |
| BF16 (dense) | 312 TFLOPS | — |
| INT8 (dense) | 624 TOPS | 275 TOPS |
| Launch price (list) | $10,000 | — |
| Form factor | SXM4 | Module (AGX Orin 64GB) |
| Announced | 2020-05-14 | 2022-03-22 |
| Released | 2020-05-14 | 2022-07-01 |
Robots running NVIDIA A100 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with NVIDIA A100 Tensor Core GPU
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
NVIDIA A100 Tensor Core GPU vs NVIDIA Jetson AGX Orin: which has more memory?
NVIDIA A100 Tensor Core GPU carries more HBM (NVIDIA A100 Tensor Core GPU: 80 GB HBM2e; 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.
NVIDIA A100 Tensor Core GPU vs NVIDIA Jetson AGX Orin: which is more widely used?
NVIDIA A100 Tensor Core GPU: 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 · NVIDIA A100 Tensor Core GPU full page · NVIDIA Jetson AGX Orin full page.