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Oxmiq Completes $35 Million Funding to Develop AI Cost-Reducing Chip Architecture

AirdropBlackHole
On July 1, Reuters reported that Oxmiq announced the completion of a $35 million funding round aimed at developing a chip architecture designed to reduce the costs of artificial intelligence. The company stated that it will use this funding to advance its chip design and system architecture research focused on optimizing AI computing, enhancing computational efficiency, and lowering the overall costs of AI training and inference. Typically, the computation in AI systems is handled by a combination of graphics processing units (GPUs) and central processing units (CPUs). However, Oxmiq plans to integrate both of these along with a third component—a tensor engine—into a single chip design. The company aims to become the 'Arm of the next-generation computing ecosystem.' Co-founder Raja Koduri mentioned that Arm provides chip architecture and intellectual property licensing for nearly all smartphones worldwide. Oxmiq also plans to develop a 'computational fabric' architecture that integrates multiple chiplets (modular designs that combine several dedicated chips into a complete system) and memory within the same package. Click the link below to join the Beating · Feishu AI news channel for 24/7 monitoring of global AI hotspots and news.
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