Aviary

Aviary is a sophisticated LLM orchestration framework built atop Ray Serve, designed to streamline the deployment, scaling, and comparative evaluation of multiple large language models (LLMs). As of 2026, it stands as a critical architectural component for enterprises transitioning from monolithic API providers to diversified, self-hosted model strategies. Aviary enables developers to manage heterogeneous GPU clusters with high efficiency, utilizing Ray's distributed computing capabilities to ensure optimal resource allocation. Its technical architecture supports multiple inference backends, including vLLM, TGI, and Hugging Face, providing a unified API interface that simplifies the integration of open-weights models like Llama 3 and Mistral into existing production pipelines. By decoupling the application logic from specific model implementations, Aviary facilitates real-time benchmarking, cost-aware routing, and seamless model fallbacks, making it an essential tool for high-scale AI applications that require both performance and architectural flexibility. Its integration with the broader Anyscale ecosystem allows for rapid scaling from local development to global-scale deployments without modifying the underlying codebase.