Cloud Ape’s AI platform engineering practice: bare-metal NVIDIA DGX operations, GPU Operator management, high-throughput storage for distributed training, Kubernetes scheduling for multi-tenant AI workloads, vLLM serving, Qdrant RAG pipelines, and GitOps/MLOps automation with the LGTM observability stack.