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Huawei Ascend 910A vs Huawei Ascend 950PR

The Ascend 950PR delivers 95% more FP16 throughput than the Ascend 910A (500 vs 256 TFLOPS dense). The Ascend 950PR also carries 96 GB more memory (128 GB vs 32 GB).

Ascend 910A: Da Vinci, 2019 Ascend 950PR: Da Vinci v3, 2026
FP16 dense lead
+95%
Ascend 950PR: 500 vs 256 TFLOPS
Memory
32 vs 128 GB
96 GB more for the Ascend 950PR
Bandwidth
1.2 TB/s vs 1.6 TB/s
Ascend 950PR moves data faster
TDP
310 W vs 900 W
Ascend 910A draws 590 W less
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Huawei Ascend 910A vs Huawei Ascend 950PR

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Huawei Ascend 910A

Full specs →

What is the Huawei Ascend 910A?

The Ascend 910A is an NPU from Huawei on the Da Vinci architecture, an accelerator built for AI inference. It is an OAM module, the open accelerator format used in multi-GPU servers. Ascend 910A full specifications →

Can I rent the Ascend 910A in the cloud?

Flopper is not tracking any live rental listings for the Ascend 910A yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Ascend 910A compare with other accelerators?

This page sets the Ascend 910A against the Ascend 950PR. The Ascend 910A is the older generation of the two. Both are Huawei parts, and both ship as an OAM module, so they fit the same class of system. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Ascend 910A figures come from?

Every Ascend 910A figure on this page traces to Huawei's own datasheet or specification table. How Flopper verifies specifications →

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Huawei Ascend 950PR

Leads on FP16 Full specs →

What is the Huawei Ascend 950PR?

The Ascend 950PR is an NPU from Huawei on the Da Vinci v3 architecture, an accelerator built for AI inference. It is an OAM module, the open accelerator format used in multi-GPU servers. Ascend 950PR full specifications →

Can I rent the Ascend 950PR in the cloud?

Flopper is not tracking any live rental listings for the Ascend 950PR yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Ascend 950PR compare with other accelerators?

This page sets the Ascend 950PR against the Ascend 910A. The Ascend 950PR is the newer generation of the two. Both are Huawei parts, and both ship as an OAM module, so they fit the same class of system. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Ascend 950PR figures come from?

Huawei published the Ascend 950PR figures in marketing material rather than a datasheet, and Flopper has no independent confirmation of them. How Flopper verifies specifications →

Specifications

Huawei logo
Ascend 910A
Huawei logo
Ascend 950PR
Architecture
Da VinciDa Vinci v3
Launch Year
20192026
Form Factor
OAMOAM
Memory
32 GB128 GB
Memory Bandwidth
1.2 TB/s1.6 TB/s
TDP
310 W900 W
Process Node
TSMC 7nm—

Performance (TFLOPS)

Huawei logo
Ascend 910A
Huawei logo
Ascend 950PR
No verified data available No verified data available
16 TFLOPS No verified data available
No verified data available No verified data available
No verified data available500 TFLOPS
256 TFLOPS 500 TFLOPS
No verified data available1,000 TFLOPS
FP6
No verified data available No verified data available
No verified data available2,000 TFLOPS
512 TOPS No verified data available

Figures are dense. Where a vendor publishes a figure it sits under the dense one and never decides a winner. Hover any precision for its definition, or read the GPU glossary.

FLOPS by Precision

What actually differs

The Ascend 950PR is the newer part: Da Vinci v3 (2026) against the Ascend 910A's Da Vinci (2019).

The Ascend 950PR carries 96 GB more memory (128 GB against 32 GB), so larger models fit on one GPU before you shard. Bandwidth is 1.2 TB/s against 1.6 TB/s, which sets the ceiling on decode speed.

Power is 310 W against 900 W, and at FP32 the Ascend 910A does more work per watt. Weight the FP8 and FP16 rows for LLM work and the FP64 row for HPC.

New to the terms? The glossary explains FP32, BF16, FP16, FP8, FP4, INT8, Sparsity and TFLOPS.

Frequently asked questions

What is better, the Ascend 910A or the Ascend 950PR?

The Ascend 950PR, on throughput. At FP16 precision the Ascend 950PR reaches 500 TFLOPS dense against 256 TFLOPS for the Ascend 910A. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Ascend 910A or the Ascend 950PR?

Choose the Ascend 950PR for training and high-throughput inference: it has 95% more FP16 throughput than the Ascend 910A. It also carries 96 GB more memory, so larger models fit on one GPU before you shard. The Ascend 950PR draws 590 W more power, so budget for cooling and power delivery before you commit.

Which has more memory, the Ascend 910A or the Ascend 950PR?

The Ascend 950PR carries 128 GB of memory versus 32 GB for the Ascend 910A. Memory bandwidth is 1.2 TB/s for the Ascend 910A and 1.6 TB/s for the Ascend 950PR.

How much power do the Ascend 910A and the Ascend 950PR draw?

The Ascend 910A is rated at 310 W TDP and the Ascend 950PR at 900 W. On FP32 throughput per watt, the Ascend 910A is the more efficient part.

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