SNIA StorageAI™ Technical Deep Dive – Open Standards Driving Efficient AI Infrastructure.
In this comprehensive technical session, SNIA Board Chair J Metz, Ph.D., presents how the StorageAI Community is tackling the fundamental data-movement, benchmarking, physical design, and sustainability challenges unique to AI data requirements. From SDXI zero-copy semantics and Accelerator-Initiated I/O, to Object-over-RDMA direct-to-GPU paths, standardized Direct Liquid Cooling for EDSFF SSDs with PCIe 7.0 readiness (including detailed topology and end-to-end link budgets), new AI-specific workload definitions that expose the limitations of traditional benchmarks, computational storage offloads for KV cache and similarity search, and emerging storage carbon intensity metrics—discover the interoperable open specifications that will define the next generation of high-performance, efficient, and sustainable AI data services. Ideal for architects, performance engineers, and infrastructure leads building large-scale generative AI systems.