The rapid evolution of GPU computing in the Enterprise has led to unprecedented demand for robust and scalable data platforms. This session will explore the critical role that standardized frameworks and protocols play in optimizing data creation, processing, collaboration and storage within these advanced computing environments. Attendees will gain insights into how adopting standards can enhance interoperability, move data to compute, facilitate efficient data exchange, and ensure seamless integration across diverse systems and applications.
Cloud storage efficiency at scale requires driving a variety of critical industry initiatives, in this session we will focus on three mass storage efficiency pillars:
- Nanoscale Complexity Deployment Simplification of foundational Tecnologies - Efficiency through Foundational Storage Technology Superior Media Density Innovation
- TCO Optimized Data Accessibility - Efficiency through Electro-Mechanical Innovation OS & Application Optimization
- Mass Capacity Systems Innovation - Efficiency through Intelligent Resource Virtualization Effortless HDD Deployment.
The SNIA Technical Council AI Taskforce is exploring the role of SNIA in serving the industry by identifying and addressing the needs of the industry for vendor neutral resolutions to gaps related to storage, transport, or acceleration of data for AI. Come and learn about some of the things that the taskforce is considering to propose for SNIA to address and come prepared to share your input about where there are gaps or differences between vendors that are barriers to progress in serving our customers with solutions for their AI storage, transport, and acceleration requirements.
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.