Keeping GPUs Busy Starts with a Performant Remote File System

<p>The AI infrastructure conversation usually starts with GPUs. It’s understandable because GPUs are emphasized by sellers, they’re expensive, capacity is constrained, and performance is easy to compare. However, a training cluster is only productive when those processors have a steady supply of data. That makes AI training fundamentally a storage performance problem. The training data [&#8230;]</p> <p>The post <a href="https://www.hpcwire.com/2026/11/10/keeping-gpus-busy-starts-with-a-performant-remote-file-system/">Keeping GPUs Busy Starts with a Performant Remote File System</a> appeared first on <a href="https://www.hpcwire.com">HPCwire</a>.</p>