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.

Briefing Summary
AI-generatedA 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.
Article analysis
Model · rule-basedKey claims
5 extractedThe training was conducted on a cluster powered by at least 1,000 Huawei chips.
The DeepSeek-V4-Pro model has 1.6 trillion parameters.
Huawei's Ascend 910C chips were used to complete post-training for the DeepSeek-V4-Pro model.
Chinese chipmakers have struggled with AI model training compared to inference.
This marks a significant step for China's AI self-reliance amid US sanctions.