Chip comparison
NVIDIA B100 (Blackwell) 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 B100 (Blackwell) | NVIDIA GB300 (Blackwell Ultra) |
|---|---|---|
| Process node | TSMC 4NP | TSMC 4NP |
| TDP | 700 W | 1400 W |
| Memory | 192 GB HBM3e | 288 GB HBM3e |
| Memory bandwidth | 8,000 GB/s | 8,000 GB/s |
| FP16 (dense) | 1,750 TFLOPS | — |
| BF16 (dense) | 1,750 TFLOPS | — |
| FP8 (dense) | 3,500 TFLOPS | 5,000 TFLOPS |
| Form factor | SXM6 (700 W envelope) | Superchip (Blackwell Ultra + Grace) |
| Announced | 2024-03-18 | 2025-03-18 |
| Released | 2024-11-01 | 2025-11-01 |
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Data centers with NVIDIA B100 (Blackwell)
No data centers publicly running it yet.
Data centers with NVIDIA GB300 (Blackwell Ultra)
Common questions
NVIDIA B100 (Blackwell) vs NVIDIA GB300 (Blackwell Ultra): which is faster for training?
NVIDIA GB300 (Blackwell Ultra) has 1.43x the dense FP8 throughput of the other (NVIDIA B100 (Blackwell): 3,500 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 B100 (Blackwell) vs NVIDIA GB300 (Blackwell Ultra): which has more memory?
NVIDIA GB300 (Blackwell Ultra) carries more HBM (NVIDIA B100 (Blackwell): 192 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 B100 (Blackwell) vs NVIDIA GB300 (Blackwell Ultra): which is more power-efficient?
Dense FP8 TFLOPS per watt: NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W); NVIDIA GB300 (Blackwell Ultra) 3.57 (5,000 ÷ 1400 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA B100 (Blackwell) vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?
NVIDIA B100 (Blackwell): 0 robots and 0 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 B100 (Blackwell) full page · NVIDIA GB300 (Blackwell Ultra) full page.