Chip comparison
NVIDIA GB300 (Blackwell Ultra) vs Tesla HW4 (FSD Computer 2)
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) | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | TSMC 4NP | Samsung 7LPP |
| TDP | 1400 W | 90 W |
| Memory | 288 GB HBM3e | 16 GB GDDR6 |
| Memory bandwidth | 8,000 GB/s | — |
| FP8 (dense) | 5,000 TFLOPS | — |
| INT8 (dense) | — | 300 TOPS |
| Form factor | Superchip (Blackwell Ultra + Grace) | Auto-board (dual-SoC) |
| Announced | 2025-03-18 | 2023-01-01 |
| Released | 2025-11-01 | 2023-02-01 |
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with NVIDIA GB300 (Blackwell Ultra)
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
NVIDIA GB300 (Blackwell Ultra) vs Tesla HW4 (FSD Computer 2): which has more memory?
NVIDIA GB300 (Blackwell Ultra) carries more HBM (NVIDIA GB300 (Blackwell Ultra): 288 GB HBM3e; Tesla HW4 (FSD Computer 2): 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA GB300 (Blackwell Ultra) vs Tesla HW4 (FSD Computer 2): which is more widely used?
NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center publicly running it. Tesla HW4 (FSD Computer 2): 3 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 · Tesla HW4 (FSD Computer 2) full page.