stacked AI chip

Huawei has released openPangu-2.0, open-sourcing the pretraining, supervised fine-tuning and reinforcement learning training code for its Pangu AI models, built to run on its own Ascend chips. The move gives developers full access to the training pipeline and is being read as an effort to build an open ecosystem around Huawei's domestic AI hardware amid competition with Nvidia-based stacks.

AMD has agreed to acquire World Labs, the spatial-intelligence AI startup founded by Stanford professor Fei-Fei Li, in a deal reported at $8.2 billion. The move would put one of the most prominent figures in AI research behind AMD's technology stack as the company pushes to challenge Nvidia in artificial intelligence computing.

Researchers have developed a stacked AI chip that pairs fast and slow processing layers to recognize changes in motion over time. The design is aimed at improving how artificial intelligence systems interpret dynamic visual scenes, a task that has been difficult for conventional chips. Coverage of the work is so far limited, and details about the team behind it and its practical applications have not been widely reported.

Chinese AI firm DeepSeek has partnered with Huawei to develop chip programming tools, a move that reduces its dependence on Nvidia's technology. The collaboration signals a further push by Chinese companies toward domestic semiconductor alternatives amid US export restrictions. Reuters reported the news, and it is being closely watched as a marker of China's progress in building an independent AI hardware and software stack.

DeepSeek and Huawei are partnering to develop open-source software for AI chips, aiming to reduce dependence on Nvidia's technology in China's AI ecosystem. The collaboration pairs DeepSeek's AI models with Huawei's chip hardware, part of a broader push to build a domestic semiconductor and AI software stack amid US export restrictions on advanced chips to China.

AMD is reported to have acquired World Labs, a move framed as expanding the chipmaker's reach in artificial intelligence beyond processors. The news circulated across financial outlets under an AI chips update, positioning AMD alongside rivals racing to build full-stack AI capabilities. Details on the deal's size, terms, and integration plans have not been disclosed, and AMD has not been widely quoted commenting on the transaction.

DeepSeek has released open-source tools supporting Huawei's Ascend AI chips, according to market chatter reported by Yahoo Finance. The move suggests the Chinese AI startup is extending its software stack beyond Nvidia hardware toward domestic chips, a step watchers see as significant for China's push to build AI infrastructure independent of US export controls.

Chinese AI firm DeepSeek has released open-source tools designed to work with Huawei's Ascend AI chips. The move supports running AI models on domestic Chinese hardware rather than Nvidia GPUs, amid US export restrictions on advanced chips to China. The release is drawing attention for what it says about China's push toward a self-sufficient AI computing stack built on homegrown silicon.

Chinese AI firm DeepSeek says it used open-source tools built on Huawei Ascend chips, underlining efforts to develop domestic AI infrastructure despite US export restrictions on advanced semiconductors. The statement highlights how Chinese developers are adapting their software stack to run on locally made hardware, drawing attention as competition with US chipmakers intensifies.

Chinese AI lab DeepSeek is reported to be developing its models for Huawei's Ascend chips, deepening the shift toward domestic Chinese semiconductor hardware. The news lands amid tightening US export controls on advanced AI chips, with Huawei's Ascend line positioned as China's leading alternative to Nvidia. Observers see it as another sign that Chinese AI firms are adapting their software stacks to homegrown chips.

DeepSeek and Huawei have announced a partnership to develop open-source software for AI chips. The collaboration would tie DeepSeek's AI models closer to Huawei's chip hardware, reducing reliance on Nvidia technology amid US export restrictions on advanced semiconductors to China. Details of the software projects and timelines have not been fully disclosed.

DeepSeek and Huawei have jointly released an open-source toolkit aimed at reducing reliance on Nvidia's CUDA software ecosystem. The move pairs DeepSeek's AI research with Huawei's hardware push, offering developers an alternative stack for training and running AI models on Chinese chips. Industry watchers see it as a significant step in China's effort to build a self-sufficient AI computing stack amid US export restrictions on advanced Nvidia hardware.

Chinese AI firm DeepSeek has open-sourced its full infrastructure stack built on Huawei's Ascend chips, claiming one-to-one parity with its Nvidia-based platform. The move gives developers outside the CUDA ecosystem a complete, openly available software stack for training and running large AI models on domestic hardware. It is being read as a significant step toward viable alternatives to Nvidia amid ongoing US export restrictions on advanced chips to China.

Z.ai has released GLM-5.3-Flash, an AI model it says is built to run efficiently on Chinese-made chips. Commentators describe the move as part of a broader 'decoupling' from U.S. hardware, arguing that software and model optimization can help narrow the performance gap with American semiconductors. The release is being discussed as a sign that China's domestic AI stack, from silicon to models, is maturing despite export restrictions.