Deepseek

Chinese technology stocks are lagging behind their US counterparts in the AI race, even as domestic champions Huawei and DeepSeek make measurable progress in artificial intelligence. The gap has drawn attention from investors weighing China's homegrown AI advances against the market dominance of American firms, with the discrepancy between corporate progress and stock performance raising questions about valuations.

Nvidia CEO Jensen Huang says AI distillation — the practice of training smaller models on the outputs of larger ones — is normal competition. Treasury Secretary Scott Bessent has previously described the same practice as 'theft', echoing claims that companies like DeepSeek built models using American AI outputs without authorisation. The exchange highlights a divide over whether model distillation is legitimate industry practice or misappropriation of US technology.

Chinese AI company DeepSeek has released official preview versions of an Electron-based desktop application for Windows and macOS, available as release candidate and nightly builds via its download CDN. The packages reuse the company's existing Web UI and agent runtime instead of being built from scratch. Observers see the move as DeepSeek extending its chatbot beyond the browser, though the software remains at an early, pre-release stage.

A guide circulating among Linux users explains how to query and compare several large language models, including Claude, ChatGPT, DeepSeek, Grok and GLM, from the command line using Python and API aggregators. It walks through setting up access to multiple providers so outputs can be reviewed side by side, aimed at developers choosing between AI services or testing models on their own machines.

Chinese AI firm DeepSeek has partnered with Huawei to develop chip programming tools, a move that reduces its dependence on Nvidia's hardware. The collaboration signals a deepening push by Chinese AI companies to build on domestic silicon amid US export restrictions on advanced chips. The alliance pairs one of China's leading AI labs with its top domestic chipmaker.

China's DeepSeek has released tools designed to make Huawei's chips a viable alternative to Nvidia hardware for running and training AI models. The move could reduce reliance on Nvidia technology amid US export restrictions, and it is drawing attention as a potential turning point in China's push for technological self-sufficiency in artificial intelligence.

A question is being raised in developer and open-source circles about whether recent criticism of generative AI tools is genuine technical critique or activism against AI. The debate touches on widely used coding assistants including Claude, Codex, Gemini, Deepseek and GLM, and reflects a broader split among programmers over the value and ethics of AI in software development.

Chinese AI firm DeepSeek says it used open-source software tools running on Huawei Ascend chips, underscoring its reliance on domestically developed hardware and software amid US export restrictions on advanced chips. The claim is drawing attention to China's push for a self-sufficient AI stack built on homegrown silicon and open-source frameworks.

DeepSeek has made its AI software compatible with Huawei's Ascend chips, according to Techzine Global. The move is significant because it suggests Chinese AI models can run on domestic hardware instead of Nvidia processors, which face US export restrictions to China. It is being read as a step towards a self-sufficient Chinese AI stack, pairing a leading open model with homegrown silicon.

Chinese AI startup DeepSeek has unveiled software tools built for Huawei AI chips, a move that could allow its models to run without Nvidia hardware. The development highlights China's push toward technological self-sufficiency amid US export controls on advanced chips, and signals growing momentum for Huawei's Ascend processors as domestic alternatives in the AI computing market.

Chinese AI firm DeepSeek has unveiled software designed to make Huawei chips capable of running AI models, positioning it as an alternative to Nvidia's hardware. The move highlights China's push to build a domestic AI computing stack less dependent on US technology, and analysts are watching closely for what it means for Nvidia's dominance in the AI chip market.

Chinese AI firm DeepSeek has partnered with Huawei to develop chip programming tools, moving away from Nvidia's platform. The collaboration signals DeepSeek's effort to build its AI stack on domestic hardware, amid US export controls restricting Chinese access to advanced Nvidia chips. The move is being read as a further step in China's push for technological self-sufficiency in semiconductors and artificial intelligence.

Chinese AI firm DeepSeek has open-sourced its full infrastructure stack built on Huawei's Ascend chips, claiming one-to-one parity with Nvidia's platform for AI training and inference. The release gives developers worldwide access to a complete, non-Nvidia hardware and software pipeline, underscoring China's push for self-sufficient AI compute amid US export restrictions. Commenters are weighing the parity claim against Nvidia's mature ecosystem.

DeepSeek has released an open-source software toolkit for Huawei's Ascend AI accelerators, including a programming language called TileLang that rivals Nvidia's CUDA. The move supports Chinese AI development on domestic hardware and reduces reliance on Nvidia, whose chip sales to China face US export restrictions. Observers see it as a step toward an alternative software ecosystem for AI computing built around Chinese-made chips.

DeepSeek and Huawei are reportedly teaming up to develop AI computing technology that moves beyond Nvidia's hardware. The partnership would pair DeepSeek's AI models with Huawei's domestic chip ecosystem, a notable step for China's push toward technological self-sufficiency amid US export restrictions. Details about the scope and timeline of the collaboration remain limited.

DeepSeek has released open-source tools that support running its AI models on Huawei chips. The move gives developers a way to use Chinese-made hardware instead of Nvidia GPUs, which remain restricted for export to China. It is seen as another step toward building a domestic AI stack independent of US technology, and observers are watching closely for what it means for competition in the global AI hardware market.

Chinese AI firm DeepSeek has released open-source tools built for Huawei's Ascend AI chips, according to reports. The move would help developers run AI workloads on domestic Chinese hardware instead of Nvidia processors, amid US export restrictions on advanced chips to China. It highlights DeepSeek's growing role in China's push for a self-sufficient AI computing stack alongside Huawei.

DeepSeek has released open-source versions of its TileLang, DeepGEMM and DeepEP software optimized for Huawei's Ascend AI chips, announced alongside Huawei's disclosure of SuperPoD Flex, a flexible large-scale compute interconnect architecture. The moves signal deepening cooperation between China's leading AI lab and Huawei's domestic silicon ecosystem, offering alternatives to Nvidia-based infrastructure for training and inference at scale.

AI startup IQuest Research has released IQuest-Q1, an open-source mixture-of-experts model with 320 billion total parameters but only 15 billion active per query, aimed at agentic coding tasks. The sparse architecture promises large-model capability with much lower inference costs. It arrives as competition intensifies among open-weight coding models, and developers are weighing its benchmarks and licensing against rivals like DeepSeek and Qwen.

Modellix has released a new plugin for the DeepSeek Harness, according to Open Source For You. The release ties into growing interest around DeepSeek's open-source AI tooling, giving developers another integration option for the framework. Details on pricing and features remain thin, but the move adds to a wave of ecosystem tools building up around DeepSeek's models.