
Imagine a world where artificial intelligence drives breakthroughs in healthcare diagnostics, financial forecasting, and autonomous vehicle navigation, yet nearly a third of these transformative projects fail to deliver value due to a hidden bottleneck: data storage. In enterprise IT environments, the sheer volume and velocity of data required for AI processes like training and inference have exposed traditional storage systems










