How cloud architecture is reinventing primary storage for the AI era
AI has sparked a race to build ever more powerful infrastructure, with headlines dominated by GPUs, networking and energy demand.
But behind the scenes, another part of the technology stack is undergoing an equally significant transformation: storage.
As AI models grow larger and enterprises retain more data for training, inference and retrieval, storage is no longer simply where information resides.
It has become an active part of AI infrastructure, responsible for feeding compute efficiently, supporting vast datasets and helping organizations balance performance with cost.
Senior Vice President, Cloud Storage Business, Seagate.
That shift has fundamentally changed what primary storage looks like in modern cloud environments.
Historically, primary storage meant tightly coupled block or file systems sitting close to compute.
Today's hyperscale cloud providers have taken a different approach, treating object storage as the persistent system of record while software coordinates how data is stored, protected and accessed across distributed infrastructure.
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