Press Release, 7 January 2026
At CES 2026 in Las Vegas, automotive tech leader Visteon Corporation announced a groundbreaking new compute solution designed to help automakers deploy advanced in-vehicle AI features and driver assist technologies more easily and cost-effectively. The AI-ADAS Compute Module, built in partnership with NVIDIA, offers a single, scalable platform that OEMs can configure either for intelligent cockpit experiences such as voice assistants and personalized interfaces or advanced driver assistance systems (ADAS), giving manufacturers flexibility as they transition toward software-defined vehicles.
Traditional approaches to adding AI capabilities in cars often require extensive reengineering of vehicle electrical architecture, which can be costly and slow. Visteon’s new module avoids this challenge by acting as a plug-and-play compute solution that integrates with both legacy and new vehicle systems, helping reduce engineering risk and speed time-to-market for automakers of all sizes. Powered by the NVIDIA DRIVE AGX Orin system-on-a-chip and running the safety-certified NVIDIA DriveOS, this compute platform delivers the high-performance, energy-efficient processing needed for demanding AI workloads in automotive environments.
For in-cabin AI features, Visteon combines a hybrid edge-cloud architecture with NVIDIA AI Enterprise software, enabling efficient cloud inference while maintaining on-vehicle data processing to preserve privacy. Visteon’s own cognitoAI™ software leverages this infrastructure to fuse data from cameras, sensors, voice inputs and infotainment systems, offering context-aware, proactive user experiences. When used for ADAS applications, the module provides a robust compute foundation upon which Tier 1 suppliers and OEMs can implement their own advanced safety and driver assistance software.
Executives from both Visteon and NVIDIA stress that the flexible design of the AI-ADAS Compute Module helps automakers deliver cutting-edge, AI-driven cockpit and safety features without expensive platform overhauls. This approach reflects the broader industry trend toward software-rich, intelligent vehicle systems, where flexibility, performance and developer-friendly ecosystems are key to future competitiveness.
Compiled using AI
