New System Simulates AI Training Clusters to Optimize Performance
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Arcadia is an end-to-end system that simulates AI training cluster performance across compute, memory, and network.
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It provides insights to optimize AI cluster design and increase efficiency by accounting for hardware, software, and workload parameters.
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Arcadia enables data-driven decision making through unified modeling of real-world conditions.
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It supports operational use cases like maintenance scheduling and job optimization to maximize cluster utilization.
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Arcadia serves as a single source of truth for performance analysis, fostering cross-team collaboration.