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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 will discuss our 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. Our speakers will be Giorgio Regni (CTO/founder), Erwan Girard (CPO), and Paul Speciale (CMO), who will discuss market forces, customer AI workload challenges, and provide details of the new offering. Paul Speciale initiated the discussion by highlighting Scality’s 17-year journey in software-defined storage, having built massive-scale object storage solutions that currently manage 12 exabytes of data and serve over a billion users for major cloud service providers and enterprises. He emphasized that the current market is at an inflection point, driven by the increasing demand for AI, escalating cyber threats such as ransomware, and the critical need for data sovereignty.
The presentation underscored significant customer challenges stemming from these forces. Enterprises face issues with fragmented, siloed storage systems that are ill-equipped to handle diverse AI workloads, resulting in low GPU utilization (often 5-10%, while optimized systems reach 70-80%). This inefficiency is compounded by flash scarcity, high prices, long procurement times, and the rapid growth of data, with many expecting 2-3x increases in data volume without proportional staffing. Scality ADI addresses these pain points by offering a unified data infrastructure that eliminates silos and provides a single namespace spanning hot, warm, and cold storage. It delivers the necessary ultra-fast, low-latency performance to keep GPU clusters consistently fed, while also leveraging cost-effective HDD technology for high-throughput capacity. This hardware independence is crucial for flexibility and cost optimization.
Scality ADI is presented as a comprehensive architectural stack designed to automate and manage data at scale, rather than just another layer. A key aspect is its focus on AI at the edge, where data is increasingly created and processed. ADI supports this evolving topology by extending a single, intelligent namespace from the core data center to hundreds of thousands of edge endpoints, enabling bi-directional data flow, analysis, and policy-driven management for applications such as machine vision, agriculture, and autonomous vehicles. The solution also introduces an open-code model, allowing customers to inspect the code to build trust and sovereignty, and even contribute changes that Scality will manage. This, combined with deep NVIDIA ecosystem integration and the autonomous Scality Guardian agent, positions ADI as a flexible, secure, and manageable on-prem alternative to public cloud solutions for critical AI workloads.
Personnel: Paul Speciale
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