AI Workloads Have a Storage Problem. Can DDN's Infinia 2.0 Solve It?
HPCWire, Monday, February 24th, 2025
AI's insatiable demand for data has exposed a growing problem: storage infrastructure isn't keeping up. From training foundation models to running real-time inference, AI workloads require high-throughput, low-latency access to vast amounts of data spread across cloud, edge, and on-prem environments.
Traditional storage systems have often struggled under the weight of these demands, creating bottlenecks that can drastically delay innovation in the AI space.
Today, DDN unveiled Infinia 2.0, a significant update to its AI-focused, software-defined data storage platform designed to eliminate the inefficiencies in AI storage and data management. The company says Infinia 2.0 acts as a unified, intelligent data layer that dynamically optimizes AI workflows.