Chip comparison
NVIDIA H100 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 H100 Tensor Core GPU | NVIDIA Jetson AGX Orin |
|---|---|---|
| Process node | TSMC 4N | Samsung 8N |
| Transistors (B) | 80 | — |
| Die size | 814 mm² | — |
| TDP | 700 W | 60 W |
| Memory | 80 GB HBM3 | 64 GB LPDDR5 |
| Memory bandwidth | 3,350 GB/s | 204.8 GB/s |
| FP16 (dense) | 989 TFLOPS | — |
| BF16 (dense) | 989 TFLOPS | — |
| FP8 (dense) | 1,979 TFLOPS | — |
| INT8 (dense) | 1,979 TOPS | 275 TOPS |
| Launch price (list) | $30,000 | — |
| Form factor | SXM5 | Module (AGX Orin 64GB) |
| Announced | 2022-03-22 | 2022-03-22 |
| Released | 2022-10-13 | 2022-07-01 |
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with NVIDIA H100 Tensor Core GPU
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
NVIDIA H100 Tensor Core GPU vs NVIDIA Jetson AGX Orin: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (NVIDIA H100 Tensor Core GPU: 80 GB HBM3; 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 H100 Tensor Core GPU vs NVIDIA Jetson AGX Orin: which is more widely used?
NVIDIA H100 Tensor Core GPU: 0 robots and 7 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 H100 Tensor Core GPU full page · NVIDIA Jetson AGX Orin full page.