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Chip comparison

Cambricon MLU370-X8 vs Google TPU v7 (Ironwood)

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-X8Google TPU v7 (Ironwood)
Process nodeTSMC N7
TDP250 W700 W
Memory48 GB LPDDR5192 GB HBM3e
Memory bandwidth7,400 GB/s
FP16 (dense)96 TFLOPS
BF16 (dense)4,614 TFLOPS
FP8 (dense)9,228 TFLOPS
INT8 (dense)256 TOPS
Form factorPCIeOAM (Ironwood pod, up to 9,216 chips)
Announced2022-03-252025-04-09
Released2025-12-01

Robots running Cambricon MLU370-X8

No robots publicly running it yet.

Robots running Google TPU v7 (Ironwood)

No robots publicly running it yet.

Data centers with Cambricon MLU370-X8

No data centers publicly running it yet.

Data centers with Google TPU v7 (Ironwood)

No data centers publicly running it yet.

Common questions

Cambricon MLU370-X8 vs Google TPU v7 (Ironwood): which is faster for training?

Google TPU v7 (Ironwood) has 96.13x the dense FP16/BF16 throughput of the other (Cambricon MLU370-X8: 96 TFLOPS; Google TPU v7 (Ironwood): 9,228 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 Google TPU v7 (Ironwood): which has more memory?

Google TPU v7 (Ironwood) carries more HBM (Cambricon MLU370-X8: 48 GB LPDDR5; Google TPU v7 (Ironwood): 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 Google TPU v7 (Ironwood): which is more power-efficient?

Dense FP16/BF16 TFLOPS per watt: Cambricon MLU370-X8 0.38 (96 ÷ 250 W); Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W). Google TPU v7 (Ironwood) wins at the die level; system-level efficiency also depends on cooling and interconnect.

See also: every chip comparison · Cambricon MLU370-X8 full page · Google TPU v7 (Ironwood) full page.