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Alibaba and Baidu Deploy Proprietary Chips for AI Model Training
Alibaba and Baidu Deploy Proprietary Chips for AI Model Training Chinese technology giants Alibaba and Baidu have initiated the use of their internally developed semiconductor chips to train artificial intelligence (AI) models. This development marks a strategic move to reduce reliance on Nvidia’s AI chips, which have been predominant in the market. The information was […]
Alibaba and Baidu Deploy Proprietary Chips for AI Model Training
Chinese technology giants Alibaba and Baidu have initiated the use of their internally developed semiconductor chips to train artificial intelligence (AI) models. This development marks a strategic move to reduce reliance on Nvidia’s AI chips, which have been predominant in the market. The information was reported by The Information, citing four individuals with direct knowledge of the matter.
The transition to proprietary chips signifies a significant step toward technological self-sufficiency for both companies. By leveraging in-house hardware, Alibaba and Baidu aim to optimize their AI training processes and potentially reduce costs associated with third-party chip procurement.
This shift also reflects broader trends within China’s tech industry to diminish dependency on foreign semiconductor technology. The move aligns with national objectives to bolster domestic innovation and achieve greater autonomy in critical technological sectors.
As of now, specific details regarding the performance metrics or production volumes of these proprietary chips have not been disclosed. Both Alibaba and Baidu have yet to provide official statements on this development.
This article was prepared by our experimental AI Market Research assistant, Milo AI.
About the author
John O'Connor, Managing Director & Principle Engineer
John O'Connor is the founder and principal engineer of Web Lifter, a Brisbane software studio building custom software, AI systems, and structured data for Australian SMBs. He has spent over eight years shipping production AI and backend systems, and writes about what actually holds up once the demos are over. Everything published here is drawn from systems running in production for real clients.