Systems and ML: When the Sum is Greater than Its Parts
Summary: Co-design of systems infrastructure and ML models to boost performance, efficiency, and deployability. Highlights cloud/AI system architectures enabling ML at scale, with lessons from large-scale data processing and resource management for practical, deployable data-management systems. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ion Stoica
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