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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 the market forces, customer AI workload challenges and provide details of the new offering.
Giorgio Regni, Scality CTO and co-founder, detailed how the explosion of “tokens” generated by AI models for inference and training creates a demand for storage that traditional S3/HTTP protocols cannot meet due to excessive overhead. Enterprises face challenges in keeping GPUs fully utilized and managing the lifecycle of massive, rapidly growing datasets. Scality ADI addresses this by providing a unified platform that manages data across extreme, hot, warm, and cold storage tiers, ensuring optimal performance for AI workloads while maintaining data integrity and security. This autonomous data infrastructure allows for seamless data movement and access without requiring applications to be rewritten.
To achieve the necessary performance for AI and GPU-centric workloads, Scality has closely collaborated with NVIDIA, contributing to and utilizing the NVIDIA NIXL library and QObject. This enables S3 over RDMA and a “native,” stripped-down object API, bypassing CPU and software stack overhead and allowing direct communication between flash devices and GPUs. This direct data path significantly reduces latency and increases throughput for extreme and hot tiers (TLC flash), while ADI concurrently manages warm data on QLC flash and HDDs, and cold data on tape or cloud storage. Scality’s contributions, including eight pull requests to the NIXL community, highlight their commitment to open standards and optimizing object storage to compete with file and block storage in high-performance AI environments.
Personnel: Giorgio Regni
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