Towards Effective Orchestration of AI x DB Workloads
This paper formalizes AIxDB workloads as iterative, concurrent, and shareable executions that interleave relational and AI operators and Advocate-native orchestration as a paradigm for redesigning database engines for these workloads and distill two design principles: holistic AIxDB co-optimization and unified AIxDB ca...