Melody Zacharias

Physical AI demands a new high-performance AI data factory architecture that unifies IT and OT data, storage, and governance to deliver deterministic, real-world intelligence at scale. Once the stuff of Hollywood legend, physical AI is now emerging from research labsand SFX studiosinto production environments. For the last few years, most enterprise AI conversations revolved around digital assistants: copilots, chatbots, and large language models operating safely in cloud sandboxes.

Everpure helps infrastructure leaders de-risk AI infrastructure by replacing rigid, fragmented environments with a unified platform that adapts as AI workloads, tools, and requirements evolve. Infrastructure owners didn’t sign up to become AI futurists. Yet here we are. Every week brings a new framework, a new architecture diagram, a new must-have platform. GPUs, vectors, pipelines, models, data gravity. The pressure is relentless, and the stakes feel existential.

As SQL Server 2022 end of support approaches, the right storage platform can de-risk SQL Server migrations while boosting performance, resilience, and AI readiness for whatever comes next. If you’re running SQL Server 2022, you probably already know this: Microsoft is drawing down new license sales, and SQL Server 2025 is here.