Data-Centric AI: Shifting Compute Closer to Storage

Data-Centric AI: Shifting Compute Closer to Storage

Photo by Pavel Danilyuk on Pexels

The paradigm of AI infrastructure is evolving. Instead of moving massive datasets to computing resources, a new strategy focuses on bringing the compute power directly to where the data resides. This data-centric approach promises increased efficiency and speed, particularly crucial for demanding AI workloads. PEAK:AIO, in collaboration with Solidigm, is pioneering this shift with a solution combining software-defined storage and high-performance solid-state drives (SSDs). This synergy tackles the core challenges of capacity, efficiency, and speed that define the AI pipeline.