Engineering Logs for Troubleshooting & Debugging
Problem – PVC Stuck in Pending on an AMD GPU‑Enabled Cluster In a Kubernetes cluster where nodes are provisioned with AMD GPUs (ROCm), AI workloads that require GPU‑accelerated storage often create a PersistentVolumeClaim (PVC). Operators observe that the PVC never transitions to Bound and remains in the Pending phase despite the presence of storage back‑ends … Read more
Problem: Batch Ingestion Fails on AMD GPU in an Air‑Gapped Environment In a secure, air‑gapped compute cluster the nightly AI batch‑ingestion pipeline aborts with errors indicating missing ROCm runtime components. Typical log excerpts look like: Traceback (most recent call last): File “/opt/pipeline/ingest.py”, line 42, in import torch ImportError: libamdhip64.so: cannot open shared object file: No … Read more
Problem – NVIDIA GPU Webhook Timeouts Under High API Traffic During peak loads on an API gateway that forwards real‑time inference requests to a Triton Inference Server (or similar GPU‑accelerated service), clients begin receiving HTTP 504 or custom webhook timeout errors. Typical log excerpts look like: 2024-05-28T14:12:03.421Z [ERROR] Triton Inference Server: Request timed out after … Read more
Problem – CRD Validation Failure When Deploying NVIDIA GPU Workloads After upgrading the NVIDIA GPU Operator (or during a fresh installation) AI training pods are rejected by the Kubernetes API server with errors such as: admission webhook “validation.gpu-operator.nvidia.com” denied the request: spec.gpus: Invalid value: “”: required property “count” missing error: unable to recognize “gpu-crd.yaml”: no … Read more