Simulate all aspects of vehicle engineering cost-effectively and at scale with highly secure infrastructure.
Optimize products by enhancing existing simulations with Azure data analytics and machine learning tools.
Quickly test performance of sensors using advanced hardware like GPUs and autonomous driving software over billions of simulated miles.
Aerodynamics
Reduce fuel consumption by exploring various aerodynamics shapes and materials in your own virtual wind-tunnel. Azure supports a wide variety of open-source and proprietary aerodynamic simulation software.
Learn about STAR-CCM+ on Azure
Crash test simulations
Cost-effectively simulate the crash behavior of individual car body components, component assemblies, and Body-in-White (BIW) testing by vehicle quarters or halves.
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Multiphysics simulation
Accurately simulate product behavior by calculating fluid forces, thermal effects, and structural integrity—in any combination—to achieve high-fidelity simulations on scalable, highly reliable, and secure Azure infrastructure.
Run ANSYS on Azure
Autonomous driving validation
Reduce design cycle sprint times by more rapidly iterating through re-simulation/re-compute, training, and perception and post-perception validation with a wide variety of CPU and GPU virtual machine configurations.
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Powerful infrastructure as a service (IaaS) solutions for automotive applications
- Choose from the wide variety of specialized Azure Virtual Machines (VMs) for your general purpose, compute optimized, and memory optimized workloads.
- Use HB-series and HC-series VMs—featuring industry-leading memory bandwidth, the latest processors, and RDMA networking—to efficiently scale tightly-coupled workloads to tens of thousands cores.
- Use a dedicated Cray supercomputer with an attached high-performance Cray ClusterStor storage in an Azure datacenter for extreme-scale HPC.
See how automotive customers are innovating with Azure HPC
"There are so many factors that are constantly changing and can affect race strategy: track temperature, tire performance, what the other drivers are doing. Simulation helps us quickly understand how to configure the car for a particular track."
Mark Everest, Information Systems Development Manager, Renault Sport Formula One Team
"Thanks to the cloud, we have found the right solution to the challenge of storage capacity and computing. We can now focus entirely on the development and safety of our technical solutions for automated and autonomous driving."
Adrian James, Head of Automated Driving Safety, Audi AG
"We can develop very efficiently using Microsoft tools and use pre-built Azure features for artificial intelligence"
Markus Kremer, Project Engineer, FEV Europe GmbH
Work with an Azure HPC industry partner
