New in Together GPU Clusters: Autoscaling, observability, and self-healing
Mar 10, 2026
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Summary
This post details the integration of autoscaling (powered by Kubernetes Cluster Autoscaler), RBAC with project-based roles (Admin, Member), active health checks and self-serve node repair for reducing MTTR, and full-stack observability via Grafana dashboards into Together GPU Clusters. It explains how these features enable elastic capacity, improve reliability by reducing failure impact, provide structured governance, and offer deep telemetry for debugging and performance tuning.
More from the Instant GPU Clusters trail
- Expanding our enterprise inference capacity with IBM Cloud and NVIDIA
- Introducing preemptible compute: the same compute, half the price
- New in Together GPU Clusters: Reliability and control for production GPU clusters
- Capacity without conflict: A guide to multi-tenant GPU cluster design for AI-native teams
- What is an AI Native Cloud?