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Towards Effective Orchestration of AI x DB Workloads

Xing, Naili et al.
arXiv (All) · Papers
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databases
AI-driven analytics are increasingly crucial to data-centric decision-making. Executing relational and AI operators in separate runtimes prevents the database optimizer and runtime from coordinating operator ordering, model placement, batching, and state reuse. Integrating AI operators into database
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