In June 2025, this developer authored a comprehensive CPU-only local Kubernetes deployment guide for vLLM in the vllm-project/aibrix repository. The guide detailed end-to-end steps for deploying vLLM on macOS and Linux, including model download, kind-based cluster setup, Docker image loading, and endpoint access. Using RST for documentation, the developer focused on reproducibility and practical troubleshooting, enabling local development and testing workflows across different operating systems. The work demonstrated depth in Kubernetes orchestration and local development practices, providing clear, actionable instructions that addressed common pain points for developers working with vLLM in resource-constrained, non-GPU environments.