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FRI · 2026-06-05 · 12:00 GMTBRIEF NSR-2026-0605-82007
News/Huawei chips refine DeepSeek model in major leap for China’s…
NSR-2026-0605-82007News Report·EN·Technology

Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance

A research team, including Huawei Technologies, has successfully used Huawei's Ascend 910C chips to complete post-training for the DeepSeek-V4-Pro model. This achievement represents a significant advancement for China's AI self-reliance efforts, particularly in the complex process of model training, which has been a challenge for Chinese chipmakers compared to AI inference.

Coco FengSouth China Morning PostFiled 2026-06-05 · 12:00 GMTLean · Center-RightRead · 1 min
Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance
South China Morning PostFIG 01
Reading time
1min
Word count
174words
Sources cited
1cited
Entities identified
8entities
Quality score
100%
§ 01

Briefing Summary

AI-generated
NEWSAR · AI

A research team, including Huawei Technologies, has successfully used Huawei's Ascend 910C chips to complete post-training for the DeepSeek-V4-Pro model. This achievement represents a significant advancement for China's AI self-reliance efforts, particularly in the complex process of model training, which has been a challenge for Chinese chipmakers compared to AI inference. The post-training refined the DeepSeek model, which has 1.6 trillion parameters, by running it on a cluster powered by at least 1,000 Huawei chips. This development occurs as China's semiconductor industry aims to move beyond supporting basic AI inference and tackle more sophisticated AI model development amidst ongoing US sanctions.

Confidence 0.90Sources 1Claims 5Entities 8
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Article analysis

Model · rule-based
Framing
Technology
National Security
Tone
Mixed Tone
AI-assessed
CalmNeutralAlarmist
Factuality
0.80 / 1.00
Factual
LowHigh
Sources cited
1
Limited
FewMany
§ 03

Key claims

5 extracted
01

The training was conducted on a cluster powered by at least 1,000 Huawei chips.

statisticShenzhen government social media post
Confidence
1.00
02

The DeepSeek-V4-Pro model has 1.6 trillion parameters.

statisticShenzhen government social media post
Confidence
1.00
03

Huawei's Ascend 910C chips were used to complete post-training for the DeepSeek-V4-Pro model.

factualresearch team that includes Huawei Technologies
Confidence
1.00
04

Chinese chipmakers have struggled with AI model training compared to inference.

factualarticle
Confidence
0.90
05

This marks a significant step for China's AI self-reliance amid US sanctions.

factualarticle
Confidence
0.90
§ 04

Full report

1 min read · 174 words
A research team that includes Huawei Technologies says it has successfully used the firm’s Ascend 910C chips to complete post-training for the DeepSeek-V4-Pro model, marking a major step forward as China’s semiconductor industry tries to leap from supporting basic AI inference to more complex model training amid tightening US sanctions.While Chinese chipmakers have found success in supporting AI inference – the relatively simple process of running an already-finished model to answer user prompts – they have struggled with training, the far more complex process of building or refining a model’s brain.If initial “pre-training” teaches a model how to speak by absorbing massive amounts of data, post-training teaches it how to work by following human instructions, safety rules and specific tasks.A Huawei Ascend 910 processor is displayed during PT Expo China in 2023. Photo: Shutterstock ImagesTo achieve this, the researchers ran DeepSeek’s largest model to date – boasting 1.6 trillion parameters – on a computing cluster powered by at least 1,000 Huawei chips, according to a social media post from the Shenzhen government on Friday.
§ 05

Entities

8 identified
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Keywords & salience

9 terms
model training
1.00
ai self-reliance
1.00
huawei ascend 910c chips
0.90
deepseek-v4-pro model
0.90
china semiconductor industry
0.80
us sanctions
0.70
ai inference
0.60
post-training
0.50
1.6 trillion parameters
0.40
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