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Scality unveiled its new product, Scality ADI, or Autonomous Data Infrastructure, which aims to address significant market shifts and customer challenges. Paul Speciale, the Chief Marketing Officer, introduced the solution, highlighting Scality’s 15 years of experience in storage software, with a focus on AI workloads, cyber resilience, and cloud infrastructure. Scality operates at an impressive scale, managing 12 exabytes of customer data globally across 70 countries, with individual deployments reaching hundreds of petabytes and delivering exceptional performance, including terabytes per second throughput and microsecond latency.
The presentation emphasized that the data infrastructure industry is at a crucial inflection point, driven by the demands of the AI era. While previous cycles involved web scale unstructured data and cloud native containerized applications using object storage and S3, AI introduces a new level of data volume, diversity in workloads, and varying performance and resiliency requirements across the data pipeline. Critical challenges include price spikes and extended lead times for storage media like NAND flash and hard disk drives, along with escalating power consumption and data center construction costs. These issues stem from inflexible, single-tiered storage architectures.
Scality ADI offers a systemic solution by providing a more flexible and dynamic approach to data management, moving away from inefficient storage silos. An illustrative customer example is the European Space Agency (Kness), which benefits from a single S3 endpoint across multiple storage tiers, enabling smart data lifecycle management for petabytes of imaging data. Scality is uniquely positioned to deliver this, leveraging its extensive experience with large-scale systems, hardware independence allowing customer choice, and an innovative open code model for transparency and collaboration. Furthermore, Scality is embracing the NVIDIA ecosystem with S3 over RDMA, facilitating direct and high-speed GPU access for demanding AI applications.
Personnel: Paul Speciale
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