From Archiving to AI Factories - The Evolution of Data Management
The Rise of Data Movers in HPC
As computing advanced, new challenges emerged in high-performance computing (HPC). Scientists, researchers, and enterprises needed to process datasets of unprecedented size. Simply storing data was no longer enough—organizations needed to move, stage, and orchestrate data across fast compute systems, storage tiers, and archives.
This is where the concept of data movers became critical. Instead of leaving data locked in silos, solutions like Nodeum enabled intelligent automation of data flows: moving information where it was needed, when it was needed, and ensuring that high-performance workloads always had access to the right data.
This HPC era taught us an important lesson: data management isn’t just about preservation. It’s about performance, accessibility, and orchestration at scale. And it set the stage for the next big evolution: the rise of Factory AI.
👉 Discover how HPC was a turning point in the pillar article: From Archiving to AI Factories: The Evolution of Data Management with Nodeum.
