What Is an AI Factory? DDN CEO Alex Bouzari Explains Why Most Enterprises Get It Wrong

Everyone at NVIDIA GTC is talking about AI factories. But most people still don’t fully understand what that actually means. I got a chance to sit down with Alex Bouzari, Chairman, Co-Founder and CEO of DDN on The Ravit Show, inside their AI factory bus to break this down in simple terms.What stood out to me from our conversation is this. An AI factory is not just about stacking GPUs or building infrastructure. It is about creating a system where data flows efficiently, models get trained and deployed faster, and outcomes are measurable.We also spoke about why DDN chose to bring this concept to life through a physical, mobile experience instead of a traditional booth. When you walk through it, you see the full pipeline in action, not just slides or demos. It makes the idea of an AI factory much more real.Another key part of the conversation was around real-world use cases. From inference and RAG to genomics and video analytics, one thing became clear. The biggest bottleneck is not models. It is how data is handled, moved, and made usable across systems.And then there is the shift toward physical AI. With robotics, simulation, and real-world systems, AI is no longer just producing digital outputs. It is starting to interact with the physical world, which changes how we think about infrastructure, latency, and reliability.If there is one takeaway, it is this. Scaling AI is not about adding more compute. It is about building systems that can turn data into outcomes efficiently.#ai #data #aifactory #nvidiagtc #ddn #api #aifactory #theravitshow