Is Photonic Computing the Answer to AI’s Power Needs?

AI is advancing at a breathtaking pace but its hunger for computing power and energy is growing even faster. As traditional compute approaches its physical limits, the industry faces a fundamental question: What will it take to sustainably scale the next generation of AI and HPC workloads?
In this session, Michael Förtsch, CEO & founder of Q.ANT, explores the emergence of photonic computing, a radically new computing paradigm that uses light instead of electrons to process information.
From the basics of light-based processing to real-world AI workloads, this talk will examine how photonic architectures could unlock orders of magnitude gains in performance and energy efficiency and open pathways to fundamentally new classes of algorithms.
As demand for AI accelerates across every industry, photonics may become a key technology that enables scalable, sustainable computing for the decades ahead.