Chip comparison
Google TPU v7 (Ironwood) vs Huawei Ascend 910C
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 | Google TPU v7 (Ironwood) | Huawei Ascend 910C |
|---|---|---|
| Process node | — | SMIC N+2 (~7nm) |
| TDP | 700 W | 500 W |
| Memory | 192 GB HBM3e | 128 GB HBM2e |
| Memory bandwidth | 7,400 GB/s | 3,200 GB/s |
| FP16 (dense) | — | 800 TFLOPS |
| BF16 (dense) | 4,614 TFLOPS | 800 TFLOPS |
| FP8 (dense) | 9,228 TFLOPS | — |
| INT8 (dense) | — | 1,600 TOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | OAM |
| Announced | 2025-04-09 | 2024-09-19 |
| Released | 2025-12-01 | 2025-01-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running Huawei Ascend 910C
No robots publicly running it yet.
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with Huawei Ascend 910C
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs Huawei Ascend 910C: which is faster for training?
Google TPU v7 (Ironwood) has 11.54x the dense FP16/BF16 throughput of the other (Google TPU v7 (Ironwood): 9,228 TFLOPS; Huawei Ascend 910C: 800 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v7 (Ironwood) vs Huawei Ascend 910C: which has more memory?
Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; Huawei Ascend 910C: 128 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v7 (Ironwood) vs Huawei Ascend 910C: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W); Huawei Ascend 910C 1.60 (800 ÷ 500 W). Google TPU v7 (Ironwood) wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Google TPU v7 (Ironwood) full page · Huawei Ascend 910C full page.