How On-Chip Photonic Processors Are Accelerating AI Inference

Episode 133 dives into the emerging technology of on-chip photonic computing for artificial intelligence. Lucas and Luna explore how startups like Lightmatter and established players like IBM are integrating lasers, modulators, and detectors onto a single silicon chip to perform matrix multiplications using light. They discuss a specific chip that achieves over 10 peta-operations per second at just 30 watts, dramatically reducing the energy cost of AI inference. The hosts examine the key engineering challenges—from co-packaging lasers to managing thermal stability—and why this approach could reshape data center hardware by 2030. This episode is essential for anyone following the future of chip design and AI hardware. #Photonics #AIAccelerator #Lightmatter #IBM #SiliconPhotonics #OnChip #Inference #MatrixMultiplication #PowerEfficiency #CMOS #LaserIntegration #DataCenter #Hardware #TechPodcast #FexingoBusiness #BusinessPodcast #Engineering #FutureOfChips Keep every episode free: buymeacoffee.com/fexingo