AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...
Abstract: We investigate the real-time voltage regulation problem in distribution systems employing online feedback optimization (OFO) with short-range communication between physical neighbours. OFO ...
Abstract: The AI training and inference workloads are particularly metadata-intensive and drive an urgent need for distributed file systems (DFS) with high IOPS metadata service. Meanwhile, the ...
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