SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Cypress
Mon Sep 16 | 7:00pm
The relentless pursuit of AI and HPC performance is driving a paradigm shift in data center architectures. Emerging memory technologies like HBM and innovative interconnects such as CXL, UALink, and UCIe are reshaping the landscape, bringing compute closer to data. This session delves into the critical role of storage in this evolving ecosystem. We will explore how storage innovations, including Flexible Data Placement, SDXI, and Computational Storage, can seamlessly integrate with these new memory fabrics and interconnects. By optimizing data movement, placement, and processing, we aim to overcome the challenges posed by the memory wall and unlock the full potential of in-memory and near-memory computing. Together, we will identify opportunities to accelerate AI and HPC applications while addressing the demands of emerging workloads and standards. Key topics: The impact of emerging standards (CXL, UALink, UCIe, RDMA/RoCE, UMI) on data center architectures. The need for storage to adapt to these new memory fabrics and interconnects. The potential benefits of integrating storage and memory technologies. The role of storage innovations in addressing the challenges of AI and HPC workloads. Overcoming the memory wall through in-memory/near-memory computing and storage optimization. The importance of efficient data movement and placement. The role of computational storage in accelerating AI workloads.
AI is a large-scale system design problem. This is forcing the industry to evolve their traditional testing and validation practices. Hypersalers are leading this effort due to access to resources and budgets. At this BoF, we delve into what is different in AI from both challenges and solutions perspective.
A Total Cost of Ownership (TCO) Model of storage provides a way to understand how customers make purchasing decisions by looking all the costs associated with purchasing and running IT equipment. Business objectives and purchasing criteria vary greatly between customers, and hence a one size fits all TCO Model is not adequate for all storage workloads. In this BoF, we will discuss how the latest SNIA TCO Model 2.0 updates the regular storage model TCO with software licensing costs and server configurations important for AI and storage companies. We will also discuss a new TCO cost/performance Model that includes the use of accelerators which help TCO savings within a specific workload. We will demonstrate prototypes for TCO 2.0 and look forward to your feedback for this and future updates.
Please join the interactive discussion on this exciting next class of storage devices. Now is your chance to get involved in the definitions, standardization, and direction of the future evolution of our industry.
AI use cases are evolving to consume both unstructured and structured data. Object storage is evolving to support both unstructured and structured data becoming tier-1 storage. This BOF sessions covers the fundamentals of structured data, like iceberg tables and use cases enabled by supporting this natively in object storage.
Let's continue the discussion with the really smart presenters from the mainstage panel discussion earlier in the day.
AI is driving the future of Data. A holistic approach to how this data moves through the pipeline is needed, with open, supported ecosystem that can help users manage their data from storage, memory, processing, and networking in a vendor-neutral way.
Come to this BoF to discuss SNIA's new Storage.AI efforts and hear how you can be a vital piece of this work regardless of your intersection with your data and the AI ecosystem!