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

- Company: Together AI (together.ai)
- Announced: 2026-07-15T00:00:00+00:00
- Category: capability-change
- Subject: Inference platform
- Source: https://www.together.ai/blog/new-in-together-gpu-clusters-reliability-and-control-for-production-gpu-clusters
- Record: https://forck.live/items/2336-new-in-together-gpu-clusters-reliability-and-control-for-production-gpu-clusters

Together AI announces new reliability and operational control features for Together GPU Clusters, including passive health checks, auto node repair, and a rebuilt Slurm-on-Kubernetes stack (Slinky 1.0) to improve failure detection, automated recovery, and cluster management for production workloads.

## Evidence

Verbatim from https://www.together.ai/blog/new-in-together-gpu-clusters-reliability-and-control-for-production-gpu-clusters:

> We've spent the last several weeks shipping a set of changes to Together GPU Clusters aimed at the operational reality of running training and inference at scale: hardware fails, schedulers leak, and teams outgrow the single-admin-kubeconfig workflow they started with.

---

Record: https://forck.live/items/2336-new-in-together-gpu-clusters-reliability-and-control-for-production-gpu-clusters
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md