The SNIA Technical Council Automotive Task Force is exploring where standardization of data storage, acceleration, or transport in auto is required and how SNIA can help. Come learn the current thinking of the task force members, including a short presentation about existing standards around storage in auto. Bring your suggestions for the barriers and challenges in automotive data storage, acceleration, or transport that would benefit from vendor neutral solutions.

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.

Object Storage has firmly established itself as a cornerstone of modern data centers and cloud infrastructure. Ensuring API compatibility has become crucial for object storage developers who want to benefit from the wide ecosystem of existing applications. However, achieving compatibility can be challenging due to the complexity and variety of the APIs, access control mechanisms, and performance and scalability requirements.

SDXI is a memory to memory data movement and acceleration standard developed by SNIA's SDXI Technical Working Group(TWG). Join this community outreach open to all to see if your use cases are covered by the SDXI TWG. Bring your ideas, pain points, insights to collaborate.

Customers are raising concerns about permission handling and security for multiprotocol access of data shared across NFS, SMB and S3 or any combination thereof especially with AI models analyzing data.

The Distributed-NVMe is my personal open source project. It is a distributed block storage system. It provides the standard NVMe-oF interface to the hosts. A single virtual block disk could provide more than 2 millions IOPS in the TCP NVMe-oF mode without any NVMe-oF specific hardware offload. Homepage: https://github.com/distributed-nvme/distributed-nvme

This keynote will provide an in-depth overview of Ultra Ethernet.

The massive growth of hyperscale AI has pushed the HPC-AI market to a critical inflection point in 2025. The market is increasingly defined by companies spending tens of billions of dollars per year, building massive data centers hundreds of megawatts — even gigawatts — at a time. As a result, national sovereignty sensitivity is on the rise, and we see independent technology tracks from the U.S., China, Japan, the EU, the UK, India, and others. This has significant implications throughout the industry, including for storage, networking, and data management. 

The AI Pipeline is a complex set of phases and operations, all with different requirements for the underlying storage which affect storage technology choices. Understanding this complexity can be overwhelming and hard to understand. This presentation will provide a 101 style view of the typical demands of the AI phases on the storage which impacts your storage choices and success deploying your AI strategy. Storage is critical for efficient AI, and is currently overlooked, to some extent, by the market.