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Playbooks are published as open guides on GitHub and cover end-to-end workflows, including: Environment setup and prerequisites Dependency and driver installation Running models locally on AMD hardware Building or extending a practical application

Lemonade is AMD’s open, local first runtime and API layer for building and running AI applications directly on PCs. It provides a unified, OpenAI compatible API that lets developers run text, image, and speech models locally without managing hardware specific details or fragmented runtimes. Lemonade is implemented in lightweight C++ and installs quickly across Windows, Linux, macOS, and Docker. At runtime, it automatically selects and configures optimized CPU, GPU, and NPU backends for each machine, allowing multiple models to run concurrently based on available system memory. The platform sup

Access to the industry-leading AMD [SR1] GPU hardware and software that delivers performance with ease of use. Reach a network of 62,000+ global developers, innovators, researchers, and industry practitioners who are eager to mentor, collaborate, and accelerate your journey. Build a working AI prototype in just 7 days. Grow confidence. Gain visibility, opening a broader ecosystem, and future opportunities. Learn through hands-on workshops and guidance from experienced mentors. A prize pool of $20,000, a Radeon ™ GPU, AMD Developer Cloud credits, and more.