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Huawei Ascend 910A vs Huawei Atlas 300I Pro

The Ascend 910A delivers 3.7x the FP16 throughput of the Atlas 300I Pro (256 vs 70 TFLOPS dense). The Ascend 910A also carries 8 GB more memory (32 GB vs 24 GB).

Ascend 910A: Da Vinci, 2019 Atlas 300I Pro: Da Vinci, 2021
FP16 dense lead
3.7x
Ascend 910A: 256 vs 70 TFLOPS
Memory
32 vs 24 GB
8 GB more for the Ascend 910A
Bandwidth
1.2 TB/s vs 205 GB/s
Ascend 910A moves data faster
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Huawei Ascend 910A vs Huawei Atlas 300I Pro

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Huawei Ascend 910A

Leads on FP16 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 Atlas 300I Pro. The Ascend 910A is the older generation of the two. Both are Huawei parts; the Ascend 910A is an OAM module while the Atlas 300I Pro is a PCIe card. 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 Atlas 300I Pro

Full specs →

What is the Huawei Atlas 300I Pro?

The Atlas 300I Pro is an NPU from Huawei on the Da Vinci architecture, an accelerator built for AI inference. It is a PCIe add-in card, so it fits standard servers and workstations. Atlas 300I Pro full specifications →

Can I rent the Atlas 300I Pro in the cloud?

Flopper is not tracking any live rental listings for the Atlas 300I Pro yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Atlas 300I Pro compare with other accelerators?

This page sets the Atlas 300I Pro against the Ascend 910A. The Atlas 300I Pro is the newer generation of the two. Both are Huawei parts; the Atlas 300I Pro is a PCIe card while the Ascend 910A is an OAM module. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Atlas 300I Pro figures come from?

Every Atlas 300I Pro figure on this page traces to Huawei's own datasheet or specification table. How Flopper verifies specifications →

Specifications

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Ascend 910A
Huawei logo
Atlas 300I Pro
Architecture
Da VinciDa Vinci
Launch Year
20192021
Form Factor
OAMPCIe
Memory
32 GB24 GB
Memory Bandwidth
1.2 TB/s205 GB/s
TDP
310 W—
Process Node
TSMC 7nm—

Performance (TFLOPS)

Huawei logo
Ascend 910A
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Atlas 300I Pro
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 available No verified data available
256 TFLOPS 70 TFLOPS
No verified data available No verified data available
FP6
No verified data available No verified data available
No verified data available No verified data available
512 TOPS 140 TOPS

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 Atlas 300I Pro is the newer part: Da Vinci (2021) against the Ascend 910A's Da Vinci (2019).

The Ascend 910A carries 8 GB more memory (32 GB against 24 GB), so larger models fit on one GPU before you shard. Bandwidth is 1.2 TB/s against 205 GB/s, which sets the ceiling on decode speed.

Weight the FP8 and FP16 rows for LLM work and the FP64 row for HPC.

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

Frequently asked questions

Is the Ascend 910A faster than the Atlas 300I Pro?

At FP16 precision the Ascend 910A reaches 256 TFLOPS dense against 70 TFLOPS for the Atlas 300I Pro. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Ascend 910A or the Atlas 300I Pro?

Choose the Ascend 910A for training and high-throughput inference: it has 3.7x the FP16 throughput of the Atlas 300I Pro. It also carries 8 GB more memory, so larger models fit on one GPU before you shard. Packaging differs too: the Ascend 910A is an OAM module while the Atlas 300I Pro is a PCIe card, so check what your servers accept.

Which has more memory, the Ascend 910A or the Atlas 300I Pro?

The Ascend 910A carries 32 GB of memory versus 24 GB for the Atlas 300I Pro. Memory bandwidth is 1.2 TB/s for the Ascend 910A and 205 GB/s for the Atlas 300I Pro.

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