Chip comparison
NVIDIA GB300 (Blackwell Ultra) 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 GB300 (Blackwell Ultra) | NVIDIA Jetson AGX Orin |
|---|---|---|
| Process node | TSMC 4NP | Samsung 8N |
| TDP | 1400 W | 60 W |
| Memory | 288 GB HBM3e | 64 GB LPDDR5 |
| Memory bandwidth | 8,000 GB/s | 204.8 GB/s |
| FP8 (dense) | 5,000 TFLOPS | — |
| INT8 (dense) | — | 275 TOPS |
| Form factor | Superchip (Blackwell Ultra + Grace) | Module (AGX Orin 64GB) |
| Announced | 2025-03-18 | 2022-03-22 |
| Released | 2025-11-01 | 2022-07-01 |
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with NVIDIA GB300 (Blackwell Ultra)
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
NVIDIA GB300 (Blackwell Ultra) vs NVIDIA Jetson AGX Orin: which has more memory?
NVIDIA GB300 (Blackwell Ultra) carries more HBM (NVIDIA GB300 (Blackwell Ultra): 288 GB HBM3e; 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 GB300 (Blackwell Ultra) vs NVIDIA Jetson AGX Orin: which is more widely used?
NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center 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 GB300 (Blackwell Ultra) full page · NVIDIA Jetson AGX Orin full page.