A GenAI engineer deploys a fine-tuned 13B-parameter LLM to a Databricks Model Serving endpoint using a GPU compute type. The endpoint deployment repeatedly fails with a container initialization timeout during the model loading phase, even though the same model loads successfully in an interactive notebook on a comparable GPU cluster. The MLflow model was logged with the correct signature and all pip dependencies pinned. What is the MOST likely cause and appropriate remediation?