Industry NewsMarketing Automation
Intel Named Official Compute Partner of McLaren Racing

Article content
Intel has been named the Official Compute Partner of McLaren Racing through a new multi-year strategic partnership focused on advanced computing, AI, and high-performance race operations.
Under the agreement, Intel will provide advanced compute infrastructure and AI-enabled technologies to support McLaren Racing’s Formula 1, IndyCar, and sim racing teams. The partnership includes the deployment of Intel Xeon and Core Ultra processors across performance-critical workloads including aerodynamic analysis, vehicle dynamics simulation, computational fluid dynamics, and real-time race strategy systems.
The collaboration reflects the growing role of high-performance computing and AI within modern motorsports, where teams increasingly rely on real-time analytics, simulation environments, edge computing, and predictive modeling to optimize race-day performance.
Intel technologies will also support McLaren’s trackside edge computing infrastructure, enabling low-latency decision-making and scalable data processing between race garages and the McLaren Technology Centre in Woking.
The partnership further highlights how Formula 1 and IndyCar continue evolving into data-intensive technology ecosystems where competitive advantage is increasingly shaped by AI, simulation capabilities, and computational speed as much as on-track engineering.
As part of the agreement, Intel branding will appear on McLaren Formula 1, IndyCar, and sim racing assets beginning with upcoming international race events.
About Intel:
Intel designs and manufactures semiconductor technologies, processors, AI infrastructure, and computing platforms supporting enterprise, cloud, edge, and high-performance computing environments globally.
About McLaren Racing:
McLaren Racing competes across Formula 1, IndyCar, esports, and other global racing series, focusing on advanced engineering, technology innovation, and performance-driven motorsports operations worldwide.
Source and Credits: Intel Newsroom