Chip comparison
NVIDIA A100 Tensor Core GPU vs NVIDIA Jetson AGX Thor
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 Thor |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| Transistors (B) | 54 | — |
| Die size | 826 mm² | — |
| TDP | 400 W | 130 W |
| Memory | 80 GB HBM2e | 128 GB LPDDR5X |
| Memory bandwidth | 2,039 GB/s | 273 GB/s |
| FP16 (dense) | 312 TFLOPS | — |
| BF16 (dense) | 312 TFLOPS | — |
| FP8 (dense) | — | 2,070 TFLOPS |
| INT8 (dense) | 624 TOPS | 2,070 TOPS |
| Launch price (list) | $10,000 | — |
| Form factor | SXM4 | Module (AGX Thor) |
| Announced | 2020-05-14 | 2024-03-18 |
| Released | 2020-05-14 | 2025-08-01 |
Robots running NVIDIA A100 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA A100 Tensor Core GPU
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
NVIDIA A100 Tensor Core GPU vs NVIDIA Jetson AGX Thor: which is faster for training?
NVIDIA Jetson AGX Thor has 6.63x the dense FP16/BF16 throughput of the other (NVIDIA A100 Tensor Core GPU: 312 TFLOPS; NVIDIA Jetson AGX Thor: 2,070 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA A100 Tensor Core GPU vs NVIDIA Jetson AGX Thor: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (NVIDIA A100 Tensor Core GPU: 80 GB HBM2e; NVIDIA Jetson AGX Thor: 128 GB LPDDR5X). 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 Thor: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W); NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA A100 Tensor Core GPU vs NVIDIA Jetson AGX Thor: which is more widely used?
NVIDIA A100 Tensor Core GPU: 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX Thor: 11 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 Thor full page.