Chip comparison
Cambricon MLU370-X8 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 | Cambricon MLU370-X8 | NVIDIA GB300 (Blackwell Ultra) |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| TDP | 250 W | 1400 W |
| Memory | 48 GB LPDDR5 | 288 GB HBM3e |
| Memory bandwidth | — | 8,000 GB/s |
| FP16 (dense) | 96 TFLOPS | — |
| FP8 (dense) | — | 5,000 TFLOPS |
| INT8 (dense) | 256 TOPS | — |
| Form factor | PCIe | Superchip (Blackwell Ultra + Grace) |
| Announced | 2022-03-25 | 2025-03-18 |
| Released | — | 2025-11-01 |
Robots running Cambricon MLU370-X8
No robots publicly running it yet.
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Data centers with Cambricon MLU370-X8
No data centers publicly running it yet.
Data centers with NVIDIA GB300 (Blackwell Ultra)
Common questions
Cambricon MLU370-X8 vs NVIDIA GB300 (Blackwell Ultra): which is faster for training?
NVIDIA GB300 (Blackwell Ultra) has 52.08x the dense FP16/BF16 throughput of the other (Cambricon MLU370-X8: 96 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.
Cambricon MLU370-X8 vs NVIDIA GB300 (Blackwell Ultra): which has more memory?
NVIDIA GB300 (Blackwell Ultra) carries more HBM (Cambricon MLU370-X8: 48 GB LPDDR5; 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.
Cambricon MLU370-X8 vs NVIDIA GB300 (Blackwell Ultra): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Cambricon MLU370-X8 0.38 (96 ÷ 250 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.
Cambricon MLU370-X8 vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?
Cambricon MLU370-X8: 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 · Cambricon MLU370-X8 full page · NVIDIA GB300 (Blackwell Ultra) full page.