Hammerspace is the high-performance data platform built to simplify and optimize AI infrastructure at scale. It makes all your data immediately accessible – anywhere across on-premises and cloud environments – without copying or migrating data into new silos. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos. What are the most important features of Hammerspace? ~Global Namespace: Unifies fragmented file and object data into a single global namespace that spans sites, clouds and storage systems. ~Parallel File System Architecture: Deliver the performance and scale for AI and HPC workloads without a proprietary client. ~Data Orchestration: Automate the flow of data and bring data to the compute that needs it no matter where it is located. ~Data-in-Place Assimilation: Make millions of files visible and accessible instantly - without complex data migrations. Don’t migrate - assimilate! ~Tier 0 Storage: Use server-local NVMe as a tier of high-performance shared storage What benefits or ROI should users look for when evaluating Hammerspace? ~AI/HPC Performance and Scale: Hammerspace delivers performance for AI and HPC with a parallel file system architecture ~Eliminate Data Silos: Unify fragmented unstructured data into a global namespace AI-Ready Data: Turn fragmented, unstructured data into AI-Ready data with an AI Data Platform. ~Hybrid-Cloud Agility: Make hybrid-cloud and multi-cloud computing and storage a reality with a global file system and policy-based data orchestration. ~Improved Productivity: Eliminate data copy sprawl, and stop manually copying data between disparate storage systems. Spend more time building, and less time managing data.