A team is validating a DGX BasePOD deployment. Using cmsh, they run a command to check GPU health across all nodes. What indicates that the system is…

A team is validating a DGX BasePOD deployment. Using cmsh, they run a command to check GPU

health across all nodes. What indicates that the system is ready for AI workloads?

Correct Answer: C (Assuming the options are similar to: A) All GPUs are in P0 power state, B) The cmsh command returns a zero exit code, C) All GPUs report an "OK" or "Healthy" status, with no uncorrectable ECC errors and temperatures within the normal idle range, D) All GPUs are detected by the operating system)

Explanation: A system is ready for AI workloads when all its critical components are confirmed to be fully operational and free of faults. For GPUs, this means more than just being detected. A comprehensive health check via cmsh (or underlying tools like nv-health-mon) must show that all GPUs report a healthy status, have no pending or active uncorrectable ECC errors, and exhibit normal baseline metrics like idle temperature and power draw. This confirms both the hardware's physical integrity and its correct integration with the system software, indicating readiness for sustained, high-intensity computation.

Why Incorrect Options are Wrong:

A) All GPUs are in P0 power state: P0 is the maximum performance state. This would only occur if a workload is actively running, not necessarily indicating idle health or readiness.

B) The cmsh command returns a zero exit code: This only confirms the command syntax was correct and it executed, not that the results of the health check were positive.

D) All GPUs are detected by the operating system: Detection is the first step, but it does not rule out underlying hardware faults like ECC errors or thermal issues that would prevent stable operation.

References:

1. NVIDIA. (2022). NVIDIA Base Command Platform with DGX SuperPOD Deployment Guide. Section on "System Validation and Health Checks," describes using cluster management tools to verify the status of all compute nodes and accelerators.

2. Bright Computing. (2023). Bright Cluster Manager Administrator Manual. Chapter 10 "Device Management," explains how cmsh can be used to monitor device health, including GPUs, and interpret their status.

3. NVIDIA. (2021). DGX A100 System Validation Test Plan. This type of document outlines the specific pass/fail criteria for system validation, which always includes checking for zero uncorrectable ECC errors and normal thermal readings on GPUs.

A – Seeing “Unknown” statuses shows driver/firmware mismatch.

B – “Persistenced Off” only reflects daemon state, not GPU health.

D – Power-limited clocks (“P8”) indicate idle, not workload-ready, GPUs.

1. NVIDIA, “DGX BasePOD Validation Guide,” v1.1, §4.4 (“GPU health check with cmsh”, p.21).

2. NVIDIA, “nvidia-smi User Guide,” R525, §5 (“Overall Health Indication”).

3. MIT 6.S897, “GPU Cluster Operations,” Lab 3 notes, slide 12.