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In this white paper we provide a vision for 6G Edge Intelligence. Movingtowards 5G and beyond the future 6G networks, intelligent solutions utilizingdata-driven machine learning and artificial intelligence become crucial forseveral real-world applications including but not limited to, more efficientmanufacturing, novel personal smart device environments and experiences, urbancomputing and autonomous traffic settings. We present edge computing along withother 6G enablers as a key component to establish the future 2030 intelligentInternet technologies as shown in this series of 6G White Papers.  In this white paper, we focus in the domains of edge computing infrastructureand platforms, data and edge network management, software development for edge,and real-time and distributed training of ML/AI algorithms, along withsecurity, privacy, pricing, and end-user aspects. We discuss the key enablersand challenges and identify the key research questions for the development ofthe Intelligent Edge services. As a main outcome of this white paper, weenvision a transition from Internet of Things to Intelligent Internet ofIntelligent Things and provide a roadmap for development of 6G IntelligentEdge.

6G White Paper on Edge Intelligence