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The future of AI chips might not run on electricity. It might run on light. In this video, we break down how Lightmatter is using photonic computing to attack one of the biggest problems in artificial intelligence: moving massive amounts of data between chips without wasting huge amounts of power. Lightmatter’s Envise processor uses light to perform AI calculations such as matrix multiplication, while its Passage platform uses optical interconnects to move data between AI chips at extreme speeds. The company has demonstrated real AI workloads including ResNet, BERT, and reinforcement learning models, while targeting the growing power and bandwidth crisis inside modern AI data centers. We also explore the Passage M1000 photonic superchip, Lightmatter’s collaboration with Qualcomm, its involvement in NVIDIA’s NVLink Fusion ecosystem, and why optical computing could become critical as AI clusters continue scaling. Could light-powered AI chips replace traditional electronic computing, or will photonics first transform how GPUs communicate within massive data centers? #AIChips #Lightmatter #PhotonicComputing #Nvidia #ArtificialIntelligence #DataCenter #FutureTech