US US20260236338A1
Disclosed are apparatuses, systems, and techniques that implement software-agnostic diagnostic of nodes within a deep learning environment. Monitoring agents within a node and external to a node can track metrics according to a policy provided by a controller. Upon identification of a metric violating a policy criterion, the monitoring agents can provide a policy violation notification to the controller. The controller can use the policy violation notification to determine the reliability of the node. Upon determination that the node is unreliable, the node may be prevented from receiving future task processing assignments.
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