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Nvidia updates Mission Control 2.5 with autonomous recovery for Kubernetes

Nvidia releases Mission Control 2.5, extending its AI workload recovery engine to Kubernetes-based workloads managed by Nvidia Run:ai.

Nvidia updates Mission Control 2.5 with autonomous recovery for Kubernetes — image from NVIDIA
Image: NVIDIA

Summary

Nvidia released Mission Control 2.5, adding an autonomous recovery engine for Kubernetes workloads managed via Nvidia Run:ai. The system uses a three-layer control loop involving the Kubernetes scheduler, an autonomous job recovery service, and an autonomous hardware recovery service to handle hardware faults, software errors, and hardware degradation.

What changed

  • Extended the autonomous recovery engine to Kubernetes-based workloads managed by Nvidia Run:ai.
  • Added parallel tracking for hardware faults to restart or reschedule jobs while isolating nodes and running diagnostics.
  • Added transient software error handling to retry workloads without unnecessary hardware remediation.
  • Added early hardware degradation detection to remove risky nodes from the scheduling pool proactively.

Availability

Available now

“Mission Control 2.5 is available today.”

Founder takeaway

Platform teams running Kubernetes-based AI workloads can upgrade to Mission Control 2.5 to utilize the new autonomous recovery engine and Run:ai integration.

Source

NVIDIAHow NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes | NVIDIA Technical Blog

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