Chip comparison
NVIDIA GB200 Grace Blackwell Superchip 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 GB200 Grace Blackwell Superchip | NVIDIA Jetson AGX Thor |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4NP |
| TDP | 2700 W | 130 W |
| Memory | 384 GB HBM3e | 128 GB LPDDR5X |
| Memory bandwidth | 16,000 GB/s | 273 GB/s |
| FP8 (dense) | 9,000 TFLOPS | 2,070 TFLOPS |
| INT8 (dense) | — | 2,070 TOPS |
| Form factor | Superchip (2xB200 + 1xGrace) | Module (AGX Thor) |
| Announced | 2024-03-18 | 2024-03-18 |
| Released | 2024-12-01 | 2025-08-01 |
Robots running NVIDIA GB200 Grace Blackwell Superchip
No robots publicly running it yet.
Data centers with NVIDIA GB200 Grace Blackwell Superchip
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
NVIDIA GB200 Grace Blackwell Superchip vs NVIDIA Jetson AGX Thor: which is faster for training?
NVIDIA GB200 Grace Blackwell Superchip has 4.35x the dense FP8 throughput of the other (NVIDIA GB200 Grace Blackwell Superchip: 9,000 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 GB200 Grace Blackwell Superchip vs NVIDIA Jetson AGX Thor: which has more memory?
NVIDIA GB200 Grace Blackwell Superchip carries more HBM (NVIDIA GB200 Grace Blackwell Superchip: 384 GB HBM3e; 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 GB200 Grace Blackwell Superchip vs NVIDIA Jetson AGX Thor: which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA GB200 Grace Blackwell Superchip 3.33 (9,000 ÷ 2700 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 GB200 Grace Blackwell Superchip vs NVIDIA Jetson AGX Thor: which is more widely used?
NVIDIA GB200 Grace Blackwell Superchip: 0 robots and 11 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 GB200 Grace Blackwell Superchip full page · NVIDIA Jetson AGX Thor full page.