GEMMA 4 NOW RUNS LOCALLY VIA CODEX CLI

The implementation shows Gemma 4 functioning as a self-hosted solution through Codex CLI, enabling developers to run the model locally on their machines. This approach eliminates reliance on cloud services and API calls, offering reduced latency and improved privacy for sensitive workloads. Codex CLI provides the infrastructure for managing and executing language models at the edge. The successful deployment suggests Gemma 4's architecture supports efficient local inference, particularly relevant for developers seeking open-source alternatives to proprietary cloud-based models. The development gained traction in tech communities, accumulating 109 points on Hacker News with 53 comments, indicating significant interest from developers exploring local LLM deployment options. This advancement reflects ongoing momentum toward decentralized AI infrastructure and self-hosted model serving.