Advanced

Node Health Checks and Burn-In

Health checks look for faults before and during GPU workloads. Burn-in, pre-flight checks and continuous monitoring cover different conditions and need explicit acceptance criteria.

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RELATED CONCEPTS

DCGM and GPU Telemetry GPU Failure Modes and XID Errors NVLink and Fabric Faults Slurm for AI Clusters Incident Response for GPU Fleets Training Uptime and Interruption Statistics

LESSONS THAT TEACH THIS

Training at ScalePlan retained progress and recovery on one calendar21 min→Training at ScaleInvestigate loss changes with controlled comparisons and tensor evidence16 min→Training at ScaleFind the late dependency before blaming the rank that waits22 min→

PRACTICE THIS IN REAL QUESTIONS

Kubernetes, Slurm & GPU SchedulingWhat do you run on a GPU node before you let a job land on it, how long does it take, and what happens on failure?→GPU Fleet Reliability & ObservabilityA new GPU node arrives. What do you run before it serves a customer, and what does each test actually catch?→Hardware, Cabling & Cluster Build-OutA node fails burn-in twice and passes on the third attempt. Do you accept it?→Hardware, Cabling & Cluster Build-Out512 GPUs are installed and the vendor wants sign-off. Design the acceptance test.→Networking, Interconnects & StorageHow do you establish that the link between two GPU nodes is healthy, and what numbers should each test return?→GPU Fleet Reliability & ObservabilityDesign the controller that decides whether a GPU node is healthy. What are its states, and how do you tune its false-positive rate?→