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Lemonade

AMD's open-source local LLM server with GPU and NPU acceleration

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Lemonade is AMD's open-source local AI serving platform for LLMs, image generation, speech recognition, and text-to-speech on your own hardware. Built in lightweight C++, it can detect CPU, GPU, and NPU backends and is extra optimized for Ryzen AI, Radeon, and Strix Halo PCs. Lemonade exposes OpenAI, Anthropic, and Ollama-compatible APIs, ships with a desktop model manager, and supports source-confirmed GGUF, FLM, and ONNX models across Windows, Linux, macOS, and Docker.

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Lemonade is a local AI serving platform developed by AMD and its open-source community that brings multi-modal inference to developer workstations and consumer PCs. Unlike generic local LLM runners, Lemonade is built to take advantage of AMD's hardware stack where available. Current public copy emphasizes Ryzen AI, Radeon, and Strix Halo PCs, with CPU, GPU, and NPU backends selected for the workload. The practical value is hardware-aware local AI rather than a one-size-fits-all runtime.

The platform ships as a lightweight C++ binary with installers for Windows, Linux, and macOS, plus Docker images for containerized workflows. At its core sits a local server with OpenAI, Anthropic, and Ollama-compatible API surfaces, so many applications can switch to Lemonade by changing endpoint configuration. Beyond chat completion, Lemonade supports image generation via Stable Diffusion, speech-to-text via Whisper, text-to-speech via Kokoro, and embedding and reranking endpoints. Experimental cloud offload can route selected work to compatible providers when local execution is not enough.

Lemonade bundles a desktop application with a visual model manager for browsing, downloading, and organizing models from Hugging Face. The built-in chat, image generation, and speech interfaces let developers prototype and test locally before wiring up external applications. For CLI users the lemonade command provides model benchmarking, accuracy testing, and memory profiling. The project is Apache 2.0 licensed and actively maintained by AMD engineers and community contributors.

Pricing

Free and open-source under Apache 2.0

Platforms

Windows, Linux, macOS, Docker; iOS/Android companion apps; AMD GPU/NPU optimization

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