SNIA announces Storage.AI

Dr. J Metz, SNIA Chair, explains how AI workloads are extraordinarily complex and constrained by issues related to latency, space, power and cooling, memory, and cost and how addressing these problems through an open industry initiative is the fastest path to optimisation and adoption, before going on to introduce Storage.AI, an open standards project for efficient data services related to AI workloads. Storage.AI will focus on industry-standard, non-proprietary, and neutral approaches to solving AI-related data problems to optimise the performance, efficiency, and cost-effectiveness of AI workloads.