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Sync the together-gpu-clusters cluster-management reference with the merged docs update. The Together cluster operator now supports an annotation-driven targeted scale-down flow in addition to cordoning: - Add `node.together.ai/delete-node-on-scale-down=true` annotation as the preferred Kubernetes marking method. - Keep `kubectl cordon` as an alternative that also blocks new pods. - Keep Slurm `scontrol ... State=drain` for Slurm clusters. - Note the UI 'Node is cordon/draining' checkpoint before triggering scale-down, and the recommendation to scale one node at a time.
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Syncs the
together-gpu-clustersskill with togethercomputer/mintlify-docs#1277 ([TCL-7655] docs: update GPU cluster targeted scale-down guidance, merged commit9c02409).Changed docs files that triggered this sync
docs/gpu-clusters-management.mdx— restructured the Targeted scale-down section to document the new cluster-operator behavior deployed to prod.Skill changes
skills/together-gpu-clusters/references/cluster-management.md, "Targeted Scale-down" section:kubectl annotate node <node_name> node.together.ai/delete-node-on-scale-down=true) as the preferred Kubernetes marking method.kubectl cordonas an alternative for cases where you also want to block new pods immediately.scontrol ... State=draincommand for Slurm clusters.No changes to
SKILL.md, scripts, or other references — the update only affects operational Kubernetes/Slurm guidance in the cluster-management reference.Generated by the Sync Skills Cursor Automation. Please review before merging.