Engineering Logs for Troubleshooting & Debugging
Problem – CUDA OOM During Model Weight Loading on GCP A100 Instances When launching a multi‑GPU training job on a Google Cloud a2‑highgpu‑8g (8 × A100, 40 GiB each) or a2‑ultragpu‑1g (H100, 80 GiB) VM, the process aborts before the first optimizer step. The failure manifests as a CUDA out‑of‑memory (OOM) error during weight broadcast or activation checkpointing performed … Read more
Problem: Intermittent 5xx Errors from GCP Compute Cloud Provider API During Traffic Spikes During a sudden 2× traffic surge on an AI inference platform, the API gateway experienced request routing failures. The gateway’s backend provisioning logic, which creates and deletes Compute Engine instances on‑the‑fly, started receiving HTTP 500 and 503 responses from the Compute Engine API: … Read more
Problem During a canary rollout of a Retrieval‑Augmented Generation (RAG) pipeline on Google Cloud Compute Engine, the DocumentLoader component crashes intermittently while ingesting documents. The failure manifests as partial ingestion, missing vectors in the downstream vector store, and occasional container termination. Typical symptoms observed in the canary instance logs: 2024-07-08T12:34:56.123Z stdout FileLockError: could not acquire … Read more
Problem – Intermittent DNS Resolution Failures on GCP Compute Engine In a multi‑region AI training pipeline, Compute Engine instances in us-central1 and europe‑west1 rely on internal DNS names such as ml‑worker-01.c.my‑project.internal to exchange model checkpoints. During peak synchronization windows the following symptoms were observed: Python training workers raised socket.gaierror: [Errno -3] Temporary failure in name … Read more