ai inference drives enterprise workloads, demands new infrastructure

the era of ai inference has arrived, driving enterprise workloads and requiring organizations to rethink infrastructure for speed, efficiency, scalability, and performance per watt. ai inference changes the optimization problem from raw compute to coordinated infrastructure, including memory, storage, and networking. organizations need to architect a data pipeline that can rapidly ingest, clean, transform, store, move, and deliver data. ai infrastructure strategy must start with workload awareness, treating the data center as an integrated system.