CatalogAI Infrastructure & MLOpsAnyscale Ray Serve
Anyscale Ray Serve
Scale model endpoints and tool servers.
Serve fine-tuned models with autoscaling and batch inference.
Solutions & playbooks
Mix of curated references, community patterns, and AI-generated outlines. Replace with your ingestion jobs + editorial review.
- Pilot playbook: Anyscale Ray Serveai outline
Start with a narrow scenario aligned with “Scale model endpoints and tool servers.”. Wire one primary integration in read-only where possible, define 10–20 golden test cases and pass/fail criteria, and only then expand write access with approvals and logging.
- Operations & governance (composite outline)ai outline
Standardize prompts/policies, capture traces for audits, and rehearse edge cases (timeouts, tool errors, ambiguous user input). Serve fine-tuned models with autoscaling and batch inference.
News radar
Seed headlines for layout; connect RSS / partner wires / compliant datasets later.
- Anyscale Ray Serve — product updates & documentation· Official vendor · 2026-03-01