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This session shares how a leading Formula 1 team accelerated simulation and AI by adopting Rescale’s cloud HPC platform. In a short onboarding window, the team scaled Star CCM+ workflows (pre/solve/post) across regions to tens of thousands of CPUs. Targeted benchmarking, network/solver tuning, and a move to newer Azure HB-series generations (with partner-enabled clock/turbo optimizations) delivered meaningful gains in throughput and efficiency.
We’ll also cover governance for FIA compliance, including multi-subscription operations and audit-ready admin views along with outlining the team’s AI program: training physics-based surrogate models (NVIDIA PhysicsNeMo, MeshGraphNets, DoMINO) on modern GPUs and serving inference on-platform to speed design iteration. We close with lessons on performance, cost control, and change management, and how this playbook is extending to NASCAR and IndyCar.
To join the event, please click on the following link on Sept. 25 at 12:00pm CDT:
https://us02web.zoom.us/j/82861397864?pwd=uM9i7mtBN6oQo0VwMXzFX7GfMzlEiy.1
Meeting ID: 828 6139 7864
Passcode: 851614
Dinal has years of experience in the HPC industry including CFD and FEA. Dinal has a Master of Science in Mechanical Engineering from Montana State University, Bozeman and worked on Modelling Flow in Porous Media through Computational Fluid Dynamics and Nuclear Magnetic Resonance Microscopy.
In Dinal’s current position at Rescale, he’s focused on leading strategic data and AI initiatives and solutions for customers. His interests outside of work include Hiking, Backpacking, Fishing and most recently, Home Remodeling.