China Just Ran AI on Light. NVIDIA Can't Compete With This.
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#photoniccomputing #semiconductors #tsmc China just ran AI on light — and the numbers are becoming difficult to ignore. Researchers have demonstrated photonic processors capable of extremely high energy efficiency, with experimental systems reporting performance metrics measured in tens to hundreds of trillions of operations per watt — significantly higher than traditional silicon-based GPUs in specific workloads. This is not just a lab concept. Photonic processors are now being tested in operational computing environments. For example, a photonic coprocessor developed by Q.ANT has been deployed at the Leibniz Supercomputing Centre, where it is being evaluated for AI inference, scientific computing, and energy-efficient data center operations. In this video, we break down how China's Taichi photonic chip works, why Germany's photonic computing deployment signals a strategic shift in AI hardware development, and what this means for the future of GPU-based computing and global semicon
Tags: photonic chips, photonic processor, optical chip, Q.ANT, photonic computing, NPU vs GPU, photonics, silicon photonics, optical computing, semiconductor technology, semiconductors, energy efficiency, future technology, AI hardware, NVIDIA GPU, Blackwell, artificial intelligence, tech news, science news, breakthrough
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