Huawei Ascend 310 vs Huawei Ascend 910A
The Ascend 910A delivers 32.0x the FP16 throughput of the Ascend 310 (256 vs 8 TFLOPS dense).
Huawei Ascend 310
Full specs →Huawei Ascend 910A
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The Ascend 910A is the newer part: Da Vinci, launched in 2019, against the Ascend 310's Da Vinci from 2018. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Dense throughput for the Ascend 310 against the Ascend 910A: FP16 8 vs 256 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the Ascend 310 faster than the Ascend 910A?
At FP16 precision the Ascend 910A reaches 256 TFLOPS dense against 8 TFLOPS for the Ascend 310. The performance table on this page lists every published precision for both GPUs.
How much power do the Ascend 310 and the Ascend 910A draw?
The Ascend 310 is rated at 8 W TDP and the Ascend 910A at 310 W. On FP32 throughput per watt, the Ascend 910A is the more efficient part.
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