Chip comparison
NVIDIA GB200 Grace Blackwell Superchip vs NVIDIA GB300 (Blackwell Ultra)
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 GB300 (Blackwell Ultra) |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4NP |
| TDP | 2700 W | 1400 W |
| Memory | 384 GB HBM3e | 288 GB HBM3e |
| Memory bandwidth | 16,000 GB/s | 8,000 GB/s |
| FP8 (dense) | 9,000 TFLOPS | 5,000 TFLOPS |
| Form factor | Superchip (2xB200 + 1xGrace) | Superchip (Blackwell Ultra + Grace) |
| Announced | 2024-03-18 | 2025-03-18 |
| Released | 2024-12-01 | 2025-11-01 |
Robots running NVIDIA GB200 Grace Blackwell Superchip
No robots publicly running it yet.
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Data centers with NVIDIA GB200 Grace Blackwell Superchip
Data centers with NVIDIA GB300 (Blackwell Ultra)
Common questions
NVIDIA GB200 Grace Blackwell Superchip vs NVIDIA GB300 (Blackwell Ultra): which is faster for training?
NVIDIA GB200 Grace Blackwell Superchip has 1.80x the dense FP8 throughput of the other (NVIDIA GB200 Grace Blackwell Superchip: 9,000 TFLOPS; NVIDIA GB300 (Blackwell Ultra): 5,000 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 GB300 (Blackwell Ultra): which has more memory?
NVIDIA GB200 Grace Blackwell Superchip carries more HBM (NVIDIA GB200 Grace Blackwell Superchip: 384 GB HBM3e; NVIDIA GB300 (Blackwell Ultra): 288 GB HBM3e). 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 GB300 (Blackwell Ultra): which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA GB200 Grace Blackwell Superchip 3.33 (9,000 ÷ 2700 W); NVIDIA GB300 (Blackwell Ultra) 3.57 (5,000 ÷ 1400 W). NVIDIA GB300 (Blackwell Ultra) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA GB200 Grace Blackwell Superchip vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?
NVIDIA GB200 Grace Blackwell Superchip: 0 robots and 11 data centers publicly running it. NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center. 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 GB300 (Blackwell Ultra) full page.