The SNIA TC AI Taskforce is working on a paper on AI workloads and the storage requirements for those workloads. This presentation will be an introduction to the key AI workloads with a description of how they use the data transports and storage systems. This is intended to be a foundational level presentation that will give participants a basic working knowledge of the subject.
Upon completion, participants will be able to identify the major categories of AI workloads.
Upon completion, participants will be able to articulate some of the special workload characteristics of the AI workloads for the transport and for the storage.
Upon completion, participants will be prepared to join more in-depth explorations of AI workloads in other SDC presentations.
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Citigroup Inc. analysts quote, "Enterprise data is expected to continue to grow at over 40% CAGR as AI becomes an incremental driver for data creation, storage, and data management."
Join us for an in-depth exploration of how Azure Blob Storage (Azure's object storage service) has innovated and scaled to meet the demands of supercomputer AI training efforts.
The recent AI explosion is reshaping storage architectures in data centers, where GPU servers increasingly need to access vast amounts of data on network-attached disaggregated storage servers for
SNIA Developer Conference
September 15-17, 2025
SDC 2025 is brought to you by SNIA. SNIA is an industry association committed to its mission of worldwide leadership developing and promoting architectures, standards, education and vendor-neutral collaboration.
