BriefsToolRolling out
Together AI adds automatic node remediation for its GPU clusters
Together AI released automatic node remediation to detect GPU faults, run repairs, and re-validate machines.
Summary
Together AI launched automatic node remediation features for GPU clusters to manage GPU faults, network drops, and storage errors. The system runs detection on both sides of the hypervisor inside VMs and hosts, supports user-defined consent and wait policies, and includes safety rails like circuit breakers and concurrency budgets.
What changed
- Together AI introduced passive health checks, repair recommendations, and auto-remediation policies that are generally available today.
- Together AI released node-label based remediation contracts in preview for external detection tools.
- Together AI added a four-stage pipeline covering fault detection, decision logic, node repair, and automated machine re-validation.
Availability
Rolling out“Generally available today: passive health checks, repair recommendations, the auto-remediation policy (including per-fault and per-node consent), wait-for-idle controls, the escalation ladder, the safety rails, and API and console repair.”
Founder takeaway
If you run workloads on Together GPU Clusters, review your auto-remediation policies and wait-for-idle controls in the console to manage how node repairs handle running jobs.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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