DeekSeek reportedly developing own AI chip to reduce reliance on Nvidia, Huawei
Yahoo Finance ·
Proactive financial news and online broadcast teams provide fast, accessible, informative and actionable business and finance news content to a global investment audience. All our content is produced independently by our experienced and qualified teams of news journalists. Proactive news team spans the world’s key finance and investing hubs with bureaus and studios in London, New York, Toronto, Vancouver, Sydney and Perth. We are experts in medium and small-cap markets, we also keep our community up to date with blue-chip companies, commodities and broader investment stories. This is content that excites and engages motivated private investors. The team delivers news and unique insights across the market including but not confined to: biotech and pharma, mining and natural resources, battery metals, oil and gas, crypto and emerging digital and EV technologies. Proactive has always been a forward looking and enthusiastic technology adopter. Our human content creators are equipped with many decades of valuable expertise and experience. The team also has access to and use technologies to assist and enhance workflows. Proactive will on occasion use automation and software tools, including generative AI. Nevertheless, all content published by Proactive is edited and authored by humans, in line with best practice in regard to content production and search engine optimisation. Chinese artificial intelligence startup DeepSeek is developing its own semiconductor for AI computing, according to a Reuters report, as the company looks to reduce its dependence on external chip suppliers, including Nvidia Corp (NASDAQ:NVDA, XETRA:NVD) and Huawei. The chip is being designed primarily for inference workloads, which involve running already-trained AI models to generate responses and complete tasks. Reuters reported that DeepSeek’s focus on inference reflects growing demand for hardware optimized for deploying AI applications rather than training large language models. Specialized inference chips can offer lower costs and improved power efficiency compared with traditional graphics processing units (GPUs), making them an increasingly important area of development as AI adoption expands. According to Reuters, DeepSeek has been working on the chip project for about a year and has held discussions with chip design firms, semiconductor manufacturers and memory suppliers. The company has also begun hiring engineers to support the effort, the report added. The move comes as Chinese technology companies seek to develop domestic alternatives amid restrictions on access to advanced foreign semiconductors. After initially falling on the report, shares of Nvidia were little changed at about $195 in the early afternoon on Tuesday.
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