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Chip comparison

Cambricon MLU370-X8 vs NVIDIA B200 (Blackwell)

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.

FieldCambricon MLU370-X8NVIDIA B200 (Blackwell)
Process nodeTSMC N7TSMC 4NP
Transistors (B)208
TDP250 W1000 W
Memory48 GB LPDDR5192 GB HBM3e
Memory bandwidth8,000 GB/s
FP16 (dense)96 TFLOPS2,250 TFLOPS
BF16 (dense)2,250 TFLOPS
FP8 (dense)4,500 TFLOPS
INT8 (dense)256 TOPS4,500 TOPS
Form factorPCIeSXM6
Announced2022-03-252024-03-18
Released2024-11-01

Robots running Cambricon MLU370-X8

No robots publicly running it yet.

Robots running NVIDIA B200 (Blackwell)

No robots publicly running it yet.

Data centers with Cambricon MLU370-X8

No data centers publicly running it yet.

Common questions

Cambricon MLU370-X8 vs NVIDIA B200 (Blackwell): which is faster for training?

NVIDIA B200 (Blackwell) has 46.88x the dense FP16/BF16 throughput of the other (Cambricon MLU370-X8: 96 TFLOPS; NVIDIA B200 (Blackwell): 4,500 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 B200 (Blackwell): which has more memory?

NVIDIA B200 (Blackwell) carries more HBM (Cambricon MLU370-X8: 48 GB LPDDR5; NVIDIA B200 (Blackwell): 192 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 B200 (Blackwell): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Cambricon MLU370-X8 0.38 (96 ÷ 250 W); NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.

Cambricon MLU370-X8 vs NVIDIA B200 (Blackwell): which is more widely used?

Cambricon MLU370-X8: 0 robots and 0 data centers publicly running it. NVIDIA B200 (Blackwell): 0 robots and 3 data centers. 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 B200 (Blackwell) full page.