Chip comparison
Cambricon MLU370-X8 vs NVIDIA H200 Tensor Core GPU
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 H200 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N7 | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 250 W | 700 W |
| Memory | 48 GB LPDDR5 | 141 GB HBM3e |
| Memory bandwidth | — | 4,800 GB/s |
| FP16 (dense) | 96 TFLOPS | 989 TFLOPS |
| BF16 (dense) | — | 989 TFLOPS |
| FP8 (dense) | — | 1,979 TFLOPS |
| INT8 (dense) | 256 TOPS | 1,979 TOPS |
| Form factor | PCIe | SXM5 |
| Announced | 2022-03-25 | 2023-11-13 |
| Released | — | 2024-03-01 |
Robots running Cambricon MLU370-X8
No robots publicly running it yet.
Robots running NVIDIA H200 Tensor Core GPU
No robots publicly running it yet.
Data centers with Cambricon MLU370-X8
No data centers publicly running it yet.
Data centers with NVIDIA H200 Tensor Core GPU
Common questions
Cambricon MLU370-X8 vs NVIDIA H200 Tensor Core GPU: which is faster for training?
NVIDIA H200 Tensor Core GPU has 20.61x the dense FP16/BF16 throughput of the other (Cambricon MLU370-X8: 96 TFLOPS; NVIDIA H200 Tensor Core GPU: 1,979 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 H200 Tensor Core GPU: which has more memory?
NVIDIA H200 Tensor Core GPU carries more HBM (Cambricon MLU370-X8: 48 GB LPDDR5; NVIDIA H200 Tensor Core GPU: 141 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 H200 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Cambricon MLU370-X8 0.38 (96 ÷ 250 W); NVIDIA H200 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA H200 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
Cambricon MLU370-X8 vs NVIDIA H200 Tensor Core GPU: which is more widely used?
Cambricon MLU370-X8: 0 robots and 0 data centers publicly running it. NVIDIA H200 Tensor Core GPU: 0 robots and 4 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 H200 Tensor Core GPU full page.