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Add comprehensive Kueue documentation benchmarked against Red Hat OpenShift AI, including new sections for managing workloads with Kueue, managing distributed workloads, and multiple new how-to guides covering preemption, borrowing/lending, label policies, job submission, JobSet and LeaderWorkerSet integrations. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Caution Review failedFailed to post review comments WalkthroughThis pull request adds comprehensive documentation covering distributed workloads orchestration with Ray/KubeRay and workload management using Kueue within Alauda AI. The documentation spans setup guides, procedural walkthroughs, troubleshooting references, and configuration examples across four main documentation sections: distributed workloads, KubeRay operator, Kueue workload management, and managing distributed workloads. Changes
Estimated Code Review Effort🎯 2 (Simple) | ⏱️ ~15 minutes Possibly Related PRs
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🚥 Pre-merge checks | ✅ 2 | ❌ 1❌ Failed checks (1 inconclusive)
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✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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