Huawei Ascend 910C vs Huawei Ascend 960

The Ascend 960 delivers 25% more FP16 throughput than the Ascend 910C (1,000 vs 800 TFLOPS dense). The Ascend 960 also carries 160 GB more memory (288 GB vs 128 GB).

Ascend 910C: Da Vinci v2 (dual-die), 2025 Ascend 960: Da Vinci v4 (chiplet), 2027

FP16 dense lead

+25%

Ascend 960: 1,000 vs 800 TFLOPS

Memory

128 vs 288 GB

160 GB more for the Ascend 960

Bandwidth

3.2 TB/s vs 9.6 TB/s

Ascend 960 moves data faster

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Huawei Ascend 910C

Full specs →

What is the Huawei Ascend 910C?

The Ascend 910C is an NPU from Huawei on the Da Vinci v2 (dual-die) architecture, an accelerator built for AI inference. It is an OAM module, the open accelerator format used in multi-GPU servers. Ascend 910C full specifications →

Can I rent the Ascend 910C in the cloud?

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

How does the Ascend 910C compare with other accelerators?

This page sets the Ascend 910C against the Ascend 960. The Ascend 910C 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 910C figures come from?

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

Huawei Ascend 960

Leads on FP16 Full specs →

What is the Huawei Ascend 960?

The Ascend 960 is an NPU from Huawei on the Da Vinci v4 (chiplet) architecture, an accelerator built for AI inference. It is an OAM module, the open accelerator format used in multi-GPU servers. It has been announced but is not yet shipping. Ascend 960 full specifications →

Can I rent the Ascend 960 in the cloud?

Flopper is not tracking any live rental listings for the Ascend 960 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Ascend 960 compare with other accelerators?

This page sets the Ascend 960 against the Ascend 910C. The Ascend 960 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 960 figures come from?

Huawei published the Ascend 960 figures in marketing material rather than a datasheet, and Flopper has no independent confirmation of them. How Flopper verifies specifications →

Specifications

Ascend 910C

Ascend 960

Architecture

Da Vinci v2 (dual-die)Da Vinci v4 (chiplet)

Launch Year

20252027

Form Factor

OAMOAM

Memory

128 GB288 GB

Memory Bandwidth

3.2 TB/s9.6 TB/s

TDP

600 W—

Process Node

SMIC 7nm—

Spec

Ascend 910C

Ascend 960

Architecture Da Vinci v2 (dual-die)Da Vinci v4 (chiplet)

Launch Year 20252027

Form Factor OAMOAM

Memory 128 GB288 GB

Memory Bandwidth 3.2 TB/s9.6 TB/s

TDP 600 W—

Process Node SMIC 7nm—

Performance (TFLOPS)

Ascend 910C

Ascend 960

50 TFLOPS

800 TFLOPS 1,000 TFLOPS

2,000 TFLOPS

FP6

4,000 TFLOPS

1,600 TOPS

Precision

Ascend 910C

Ascend 960

50 TFLOPS

800 TFLOPS 1,000 TFLOPS

2,000 TFLOPS

FP6

4,000 TFLOPS

1,600 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 Ascend 960 is the newer part: Da Vinci v4 (chiplet) (2027) against the Ascend 910C's Da Vinci v2 (dual-die) (2025).

The Ascend 960 carries 160 GB more memory (288 GB against 128 GB), so larger models fit on one GPU before you shard. Bandwidth is 3.2 TB/s against 9.6 TB/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, BF16, FP16, FP8, FP4, INT8, Sparsity and TFLOPS.

Frequently asked questions

What is better, the Ascend 910C or the Ascend 960?

The Ascend 960, on throughput. At FP16 precision the Ascend 960 reaches 1,000 TFLOPS dense against 800 TFLOPS for the Ascend 910C. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Ascend 910C or the Ascend 960?

Choose the Ascend 960 for training and high-throughput inference: it has 25% more FP16 throughput than the Ascend 910C. It also carries 160 GB more memory, so larger models fit on one GPU before you shard.

Which has more memory, the Ascend 910C or the Ascend 960?

The Ascend 960 carries 288 GB of memory versus 128 GB for the Ascend 910C. Memory bandwidth is 3.2 TB/s for the Ascend 910C and 9.6 TB/s for the Ascend 960.

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Open in Full Compare Tool → Ascend 910C full specs Ascend 960 full specs Estimate cluster cost in the calculator →

Huawei Ascend 910C vs Huawei Ascend 960

Huawei Ascend 910C

What is the Huawei Ascend 910C?

Can I rent the Ascend 910C in the cloud?

How does the Ascend 910C compare with other accelerators?

Where do the Ascend 910C figures come from?

Huawei Ascend 960

What is the Huawei Ascend 960?

Can I rent the Ascend 960 in the cloud?

How does the Ascend 960 compare with other accelerators?

Where do the Ascend 960 figures come from?

Specifications

Performance (TFLOPS)

FLOPS by Precision

What actually differs

Frequently asked questions

What is better, the Ascend 910C or the Ascend 960?

Which should you choose, the Ascend 910C or the Ascend 960?

Which has more memory, the Ascend 910C or the Ascend 960?

Get Comparison Updates

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