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DeepSeek与华为合作开发芯片编程工具,以减少对英伟达的依赖DeepSeek partners with Huawei to develop chip programming tools, reducing reliance on Nvidia

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北京/香港,9月30日:中国人工智能公司DeepSeek周三表示,已与华为技术有限公司合作,为华为升腾芯片开发优化编程工具。这是中国科技公司在寻求英伟达生态系统替代方案的过程中,加深合作的最新迹象。

BEIJING/HONG KONG, Sept 30 : Chinese AI firm DeepSeek said on Wednesday it has partnered with Huawei Technologies to develop programming tools optimised for Huawei's Ascend chips, the latest sign of Chinese tech firms deepening ties as they seek alternatives to the Nvidia ecosystem.

DeepSeek在其官方微信公众号发文称,将开源华为升腾平台的编程基础设施,包括计算和通信库。

In a post on its official WeChat account, DeepSeek said it was open-sourcing programming infrastructure for Huawei's Ascend platform, including compute and communication libraries.

此前两周,华为发布了新一代人工智能处理器和超级节点计算系统,并表示预计其人工智能系统明年将广泛用于模型训练。

The announcement came two weeks after Huawei unveiled its next generation of AI processors and supernode computing systems, and said it expected its AI systems to be widely used for model training next year.

DeepSeek表示,华为在开发该编程基础设施方面提供了全面支持,双方共同推进了基于128颗升腾950芯片的“超级节点”解决方案,优化了计算和通信性能。

DeepSeek said Huawei provided full support in developing the programming infrastructure, and the two companies jointly advanced a "supernode" solution based on 128 Ascend 950 chips, optimising both computation and communication.

DeepSeek还强调了TileLang(一种用于人工智能芯片的高级开源编程语言)在提高开发效率和简化代码逻辑方面的作用。

DeepSeek also highlighted the role of TileLang, a high-level open-source programming language for AI chips, in improving development efficiency and simplifying code logic.

DeepSeek表示:“要构建新一代自主可控的GPU软件生态系统,首要任务是建立一种通用、易于编程且仍能发挥硬件全部性能潜力的高级语言。”

"To build a new generation of independent, self-controlled GPU software ecosystems, the first priority is establishing a high-level language that is universal, easy to program, and still capable of reaching the hardware's full performance potential," DeepSeek said.

DeepSeek称,“TileLang正是为满足这一需求而创建的”,并提供了一种比英伟达CUDA“更简单的编程模型”。

"TileLang was created precisely to meet this need," and offers "a simpler programming model" than Nvidia's CUDA, DeepSeek said.