Everyone’s racing to secure the latest GPUs. But here’s what most organizations miss: without data delivered at the speeds AI workloads demand, those expensive GPUs sit idle, waiting.

The bottleneck isn’t compute anymore—it’s data access speed. Modern AI workloads process expanding context lengths and massive token volumes, and they need data provisioned faster than traditional storage architectures can deliver. When data can’t keep pace with processing power, GPU utilization plummets and investments underperform.

Read my full article on LinkedIn.