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As AI, cyber resilience, and sovereignty converge at the data layer, the siloed storage architectures most enterprises rely on were not designed for that convergence. At AI Infrastructure Field Day, Scality discussed their recently announced Scality ADI, an autonomous data infrastructure that provides a new operating model that aligns workloads to the right storage media, performance, and data protection. Their speakers Giorgio Regni (CTO/founder), Erwan Girard (CPO), and Paul Speciale (CMO) discussed the market forces, customer AI workload challenges and provided details of the new offering.
Scality ADI emphasizes simplifying operations and providing actionable insights for sysadmins through its AI-powered intelligence, Scality Guardian. This agent offers augmented troubleshooting, proactive maintenance, and security monitoring by integrating all internal documentation, customer tickets, product bulletins, and accumulated knowledge into a comprehensive “golden data set.” While the autonomy focuses on identifying issues and providing remediation suggestions, Scality maintains a “human in the loop” for critical data-modifying actions to ensure control. These agents interact via chat-based interfaces or an MCP server/API, with their rights managed through fine-grained IM policies, akin to human users. The predictive maintenance intelligence is designed to learn from patterns observed across Scality’s entire customer base, enhancing its effectiveness.
A significant part of the presentation focused on the burgeoning use cases for AI at the edge, spanning retail stores, warehouses, and mining sites. Scality’s Artisca product is purpose-built for these edge environments, addressing challenges such as limited bandwidth and diverse hardware form factors by enabling local data processing. Artisca facilitates the ingestion and interpretation of massive data streams, such as thousands of video feeds, often in conjunction with partners like NVIDIA (using VSS for video analytics), and stores the processed data locally. The Maestro UI provides a unified view for managing a fleet of these distributed edge systems, ensuring high availability and data resiliency even in remote locations. This architecture supports data lifecycling between the edge and core data centers, offering customers optimal sizing based on their specific application needs.
Personnel: Erwan Girard
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