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Rani Borkar, president of Azure Hardware Systems and Infrastructure at Microsoft, emphasized that merely increasing memory chip production will not alleviate the supply chain bottlenecks affecting AI infrastructure. Speaking at SEMICON Taiwan 2026 in Taipei on September 2, Borkar called for innovative solutions to tackle these limitations. This statement is significant as it underscores the complexity of the challenges facing AI development, which cannot be solved solely by enhancing hardware capacity. The current bottlenecks hinder the scalability and efficiency of AI systems, making it crucial for industry leaders to explore alternative strategies and technologies. Looking ahead, the focus will likely shift towards innovative approaches and technologies that can effectively address the underlying issues in AI infrastructure. No further timeline was disclosed at the time of publication.
Nikkei.com Sep 02, 2026RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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