The Deterministic6G V2X project addresses the growing demands of autonomous driving technologies, which require substantial processing power as Connected and Automated Vehicles (CAVs) manage vast data streams and make real-time decisions. This involves processing extensive data from sensors like lidar, radar, and cameras, and integrating this information with data from other vehicles via V2X communication, enhanced by AI algorithms for effective decision-making. However, current vehicle processing capabilities are inadequate for the large data volumes generated by V2X applications. While 5G networks have integrated computing capabilities through Mobile Edge Computing (MEC), 6G networks aim to further embed AI and advanced networking across the Local-Edge-Cloud (LEC) continuum, enhancing processing and decision-making. The Deterministic6G V2X project envisions automated vehicles connected to 6G networks, enabling cooperative processing and task distribution across the network to maintain reliable communication, computing, and control within bounded latency. This requires a deterministic design of 6G networks, ensuring predictable and reliable interactions between vehicles and the network. Our holistic approach to deterministic 6G-V2X systems considers not just communication latency, but also computing and control latencies within the LEC continuum, optimizing processing unit selection based on computational power, bandwidth, and latency needs. This design aims to enhance the reliability, efficiency, and scalability of V2X systems and autonomous vehicles, advancing the seamless integration of next-generation networks.