Chip comparison
Huawei Ascend 910C vs NVIDIA T4 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 | Huawei Ascend 910C | NVIDIA T4 Tensor Core GPU |
|---|---|---|
| Process node | SMIC N+2 (~7nm) | TSMC 12FFN |
| Transistors (B) | — | 13.6 |
| Die size | — | 545 mm² |
| TDP | 500 W | 70 W |
| Memory | 128 GB HBM2e | 16 GB GDDR6 |
| Memory bandwidth | 3,200 GB/s | 320 GB/s |
| FP16 (dense) | 800 TFLOPS | 65 TFLOPS |
| BF16 (dense) | 800 TFLOPS | — |
| INT8 (dense) | 1,600 TOPS | 130 TOPS |
| Form factor | OAM | PCIe (single-slot, low-profile) |
| Announced | 2024-09-19 | 2018-09-13 |
| Released | 2025-01-01 | 2019-01-01 |
Robots running Huawei Ascend 910C
No robots publicly running it yet.
Robots running NVIDIA T4 Tensor Core GPU
No robots publicly running it yet.
Data centers with Huawei Ascend 910C
No data centers publicly running it yet.
Data centers with NVIDIA T4 Tensor Core GPU
No data centers publicly running it yet.
Common questions
Huawei Ascend 910C vs NVIDIA T4 Tensor Core GPU: which is faster for training?
Huawei Ascend 910C has 12.31x the dense FP16/BF16 throughput of the other (Huawei Ascend 910C: 800 TFLOPS; NVIDIA T4 Tensor Core GPU: 65 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Huawei Ascend 910C vs NVIDIA T4 Tensor Core GPU: which has more memory?
Huawei Ascend 910C carries more HBM (Huawei Ascend 910C: 128 GB HBM2e; NVIDIA T4 Tensor Core GPU: 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Huawei Ascend 910C vs NVIDIA T4 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Huawei Ascend 910C 1.60 (800 ÷ 500 W); NVIDIA T4 Tensor Core GPU 0.93 (65 ÷ 70 W). Huawei Ascend 910C wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Huawei Ascend 910C full page · NVIDIA T4 Tensor Core GPU full page.