Apr 29
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In this testimonial, McLaren Automotive leaders — Chief Programme Officer Christoph Meyer and CIO Alex Park — reveal how they are redefining the limits of performance by integrating Rescale's AI physics and agentic engineering into their core design and manufacturing workflows. By leveraging the Rescale digital engineering platform architected on NVIDIA AI infrastructure, McLaren has transformed traditional, fragmented engineering cycles into a unified, high-speed data loop. The results? Reducing complex simulation times from days to minutes and freeing their world-class engineers to focus on pure innovation. Inside the McLaren x Rescale x NVIDIA Partnership: Agentic Engineering Orchestration: Discover how Rescale AI agents automate the heavy lifting of pre- and post-processing, ensuring only high-quality data moves downstream. Real-Time AI Physics Integration: See how McLaren manufacturing practitioners use parametric optimization to see production outcomes in real-time, specifically for complex carbon composite concepts. Universal Data Liquidity: Learn how Rescale’s cloud-native platform makes decades of legacy engineering data searchable, reusable, and instantly available to every engineer across the globe. From the wind tunnel to the track, McLaren is proving that the future of engineering isn't just about faster compute—it's about the intelligent orchestration of physics and AI. 🔗 LEARN MORE: 🚀 Explore the Rescale Platform: https://rescale.com/ 🏁 Read the Press Release: https://cars.mclaren.press/releases/1337 CHAPTERS: 0:00 - The Ambition of McLaren Automotive 0:45 - The Challenge: Fragmented Engineering Workflows 1:20 - Scaling with Rescale & NVIDIA AI Infrastructure 2:10 - Agentic Engineering & AI Physics in Action 3:05 - The Future: Delivering Exhilarating Products CONNECT WITH US: LinkedIn: https://www.linkedin.com/company/rescale/ X/Twitter: https://twitter.com/rescaleinc Website: https://www.rescale.com #Rescale #McLaren #NVIDIAGTC #AgenticAI #AIPhysics #DigitalEngineering #HPC #CloudComputing #Simulation #AutomotiveEngineering