As data demands shift from traditional enterprise workloads to massive AI/ML pipelines, the storage software stack has undergone a radical transformation. During the process of storage systems scaling from a single server to hyperscale and AI workloads, the placement and virtualization of storage software intelligence within the stack have become the dominant determinant of performance, cost, and operational agility. In this webinar, we will try to answer the following question: Given that storage access semantics are already abstracted into files, blocks, and objects, the remaining challenge is architectural: As storage systems evolve from raw hardware to application-facing services, where in the storage software stack should virtualization be implemented to optimize performance, scalability, and resiliency across modern workloads and vastly different physical deployments? This webinar will help the audience to • Have a comprehensive understanding of the storage software stack, moving from the application and logical abstraction layers all the way down to the physical interface • Gain insights on storage virtualization and networking interconnects • Understand scaling terminologies (scale-out, scale-up, scale-across) • Appreciate how the technological evolutions in the above-mentioned areas are helping in scaling storage capacity and data services, making them suitable for modern enterprise and cloud/AI applications Participants will walk away with a clear understanding of the storage software stack, storage functionality updates, and how storage is evolving to keep pace with the advancements that cater to modern applications like HPC/AI.

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17:00 - 18:00 hs GMT+1

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Enterprise Architecture
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