The source introduces AIBrix, an open-source, cloud-native infrastructure toolkit designed to function as the control plane for vLLM, optimizing the deployment and serving of large language models (LLMs) in production environments. It addresses the challenge of making LLMs cost-effective and scalable by focusing on system-level orchestration, which is presented as the crucial third layer—after the open-source model and the inference engine (vLLM)—for unlocking true efficiency. Key innovations detailed include high-density LoRA management for cost reduction, an LLM-specific autoscaling mechanism, a distributed KV cache pool for enhanced throughput, and heterogeneous serving optimization using a GPU optimizer to balance cost and service level objectives (SLOs). Built on Kubernetes, AIBrix provides a robust framework that integrates cutting-edge research to ensure enterprise-grade reliability and performance for large-scale LLM inference