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Learn how Hammerspace addresses complex data management challenges for AI workloads in this conference presentation. Discover how this data company distinguishes itself from traditional storage vendors by creating an instantly accessible, infinite virtual space that disaggregates data from underlying infrastructure. Explore the core technology that assimilates metadata from existing storage systems into a single global namespace, eliminating data silos and enabling data to reside across any location, cloud, or storage backend. Understand how this approach accelerates data pipelines, enhances existing infrastructure, and enables rapid integration of new technologies while providing complete data visibility and access within minutes rather than requiring costly migrations. Examine Hammerspace's solutions for critical AI infrastructure challenges including tight flash memory markets and rising costs through intelligent data orchestration and the innovative "Tier Zero" concept that aggregates local flash within compute clusters. See how the platform treats cloud storage as a direct extension of on-premises infrastructure while ensuring data portability through parallel file system access and multi-protocol support. Learn about policy-driven orchestration that automates data movement, ensures durability through redundant metadata nodes and erasure coding, and centralizes security policies for cross-border compliance. Review real-world customer examples including a digital payments company that reduced storage costs by $5 million and simplified workflows for 3,000 data scientists, and another customer that maintained existing NAS systems while deploying high-performance NVMe storage to handle 3-4x performance increases from new NVIDIA servers. Discover how Hammerspace optimizes inference workloads by preloading entire projects into local NVMe connected directly to GPUs and integrates with platforms like the NVIDIA AI Data Platform to automate data preparation and orchestration, transforming data chaos into AI-ready infrastructure manageable through natural language interfaces.
