AI isn’t just a compute race. It’s a data race – and storage will decide the winners, WD shares

[The content of this article has been produced by our advertising partner.] For years, the industry has framed AI as a compute problem: more GPUs, denser clusters, faster interconnects. That framing is now incomplete. At scale, AI is fundamentally a data system. Every training run, every inference, every agent interaction generates new data that must be stored, retained, and revisited. Compute is elastic and cyclical. It can be repurposed. Data is cumulative and permanent, making storage demands...