Rakis is a fully browser-based decentralized inference network. Leveraging blockchain technology, it allows nodes to request and share AI model inference results, enabling distributed execution of AI models without relying on servers. By utilizing browsers as nodes and supporting WebGPU compatible platforms, Rakis empowers ordinary users to participate in AI model inference. The project is open-source, emphasizing transparency and verifiability, aiming to address the challenges of determinism, scalability, and security in decentralized AI inference.