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Learn about distributed AI inference solutions through this 36-minute conference talk that explores the El.Roi File System and its applications for addressing performance, latency, and cost challenges in AI deployments. Discover how this platform enables low-cost, low-latency, and low-power CPU/storage elements to access data streams simultaneously with 2-N+ scaling capabilities. Examine the foundational components of the system and understand how it's being implemented to solve complex business cases cost-effectively, particularly in scenarios requiring distributed AI inference for performance optimization, reduced backhaul latency, cloud overhead reduction, and multi-model processing requirements.
