New in Together GPU Clusters: Reliability and control for production GPU clusters

Introduced passive health checks to detect failures during active workloads, complementing existing active checks. Implemented auto node repair with human-in-the-loop approval for actions like reboot, reprovision, failover, and remove. Upgraded the Slurm-on-Kubernetes stack (Slinky 2.0) with self-healing worker daemons, no zombie processes, durable job accounting, reliable process cleanup, and accurate GPU state after reschedules. Enhanced operational control with a new cluster details view (health, usage, event timeline), external OIDC for Kubernetes RBAC, and startup scripts for cluster customization at boot, job start, and job end.