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Huawei Ascend 910B vs Huawei Ascend 910C

The Ascend 910C delivers 2.0x the FP16 throughput of the Ascend 910B (800 vs 400 TFLOPS dense). The Ascend 910C also carries 64 GB more memory (128 GB vs 64 GB).

Ascend 910B: Da Vinci v2, 2024 Ascend 910C: Da Vinci v2 (dual-die), 2025
FP16 dense lead
2.0x
Ascend 910C: 800 vs 400 TFLOPS
Memory
64 vs 128 GB
64 GB more for the Ascend 910C
Bandwidth
1.6 TB/s vs 3.2 TB/s
Ascend 910C moves data faster
TDP
400 W vs 600 W
Ascend 910B draws 200 W less
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Huawei Ascend 910B vs Huawei Ascend 910C

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Huawei Ascend 910B

Full specs →

What is the Huawei Ascend 910B?

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

Can I rent the Ascend 910B in the cloud?

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

How does the Ascend 910B compare with other accelerators?

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

Huawei published the Ascend 910B figures in marketing material rather than a datasheet, and Flopper has no independent confirmation of them. How Flopper verifies specifications →

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Huawei Ascend 910C

Leads on FP16 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 910B. The Ascend 910C 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 910C figures come from?

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

Specifications

Huawei logo
Ascend 910B
Huawei logo
Ascend 910C
Architecture
Da Vinci v2Da Vinci v2 (dual-die)
Launch Year
20242025
Form Factor
OAMOAM
Memory
64 GB128 GB
Memory Bandwidth
1.6 TB/s3.2 TB/s
TDP
400 W600 W
Process Node
SMIC 7nmSMIC 7nm

Performance (TFLOPS)

Huawei logo
Ascend 910B
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Ascend 910C
No verified data available No verified data available
No verified data available50 TFLOPS
No verified data available No verified data available
400 TFLOPS 800 TFLOPS
400 TFLOPS 800 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
800 TOPS 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 910C is the newer part: Da Vinci v2 (dual-die) (2025) against the Ascend 910B's Da Vinci v2 (2024).

The Ascend 910C carries 64 GB more memory (128 GB against 64 GB), so larger models fit on one GPU before you shard. Bandwidth is 1.6 TB/s against 3.2 TB/s, which sets the ceiling on decode speed.

Power is 400 W against 600 W, and at FP32 the Ascend 910C 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, INT8, Sparsity and TFLOPS.

Frequently asked questions

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

The Ascend 910C, on throughput. At FP16 precision the Ascend 910C reaches 800 TFLOPS dense against 400 TFLOPS for the Ascend 910B. The performance table on this page lists every published precision for both GPUs.

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

Choose the Ascend 910C for training and high-throughput inference: it has 2.0x the FP16 throughput of the Ascend 910B. It also carries 64 GB more memory, so larger models fit on one GPU before you shard. The Ascend 910C draws 200 W more power, so budget for cooling and power delivery before you commit.

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

The Ascend 910C carries 128 GB of memory versus 64 GB for the Ascend 910B. Memory bandwidth is 1.6 TB/s for the Ascend 910B and 3.2 TB/s for the Ascend 910C.

How much power do the Ascend 910B and the Ascend 910C draw?

The Ascend 910B is rated at 400 W TDP and the Ascend 910C at 600 W. On FP32 throughput per watt, the Ascend 910C is the more efficient part.

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