General-purpose compute is emerging as the critical engine for the age of inference. Join this session to learn firsthand from industry leaders who have successfully implemented a workload-optimized approach to power their AI stacks. We’ll cover topics ranging from high-efficiency CPU-based inference to the massive data preprocessing required for modern generative workloads. Learn how to build an AI-ready infrastructure that eliminates bottlenecks and minimizes latency across your entire pipeline. We’ll break down the emerging architectural patterns that provide the flexibility to innovate at scale, so your infrastructure can scale seamlessly without being locked into a single path.