HPC Automotive Solutions
7 of the 10 Top Global Automotive Companies Use Rescale
4 of the 6 Top Global Tire Companies Use Rescale
From optimizing the vehicle aerodynamics to efficiency analysis for combustion and electrification, to crash safety simulations, automotive engineers run an expansive range of computer-aided engineering (CAE) simulations on Rescale’s platforms to build new cars faster.
Leading HPC Automotive Companies Benefit From Rescale
Accelerated Development
Multiphysics simulation is a key part of modern product development Accelerate innovation and time to market with Rescale.
Secure Workflows
With end-to-end encryption and the latest certifications, Rescale offers a secure environment for your data.
Cloud Desktops
Via a standard internet connection, Rescale’s customers can remotely access their 2D/3D desktop applications and interactively visualize their simulation results.
Featured HPC Automotive Customer: Dinex A/S
Dinex A/S is a multinational designer and manufacturer of exhaust and emissions systems for trucks, buses, and off-road equipment. Dinex used Rescale’s ScaleX to design an exhaust treatment system for a large Chinese truck manufacturer. Using Rescale, Dinex achieved:
Increase Simulation Runtime
4x speedup in simulation runtime
Scalability
More productive simulation engineers from the elimination of simulation bottleneck
Efficiency
- Higher project throughput and higher revenue from additional projects
- 25% reduction in time-to-market, reducing project time from 18 months to 13.5 months
Resources for HPC Automotive Professionals
Vertical Aerospace Pioneers Urban Air Mobility with Cloud-First Strategy on Rescale
Zeleros Hyperloop Customer Case Study with Featured Partner AWS
Nissan and Rescale: Innovation that Excites
“By adopting Rescale we were able to reduce the cost of trial production by 3% in addition to improving the speed of our analysis and reducing the total person-hours required. Choosing specialized, multi-cloud infrastructure on Rescale was the best economic option in terms of both solve-speed and cost when compared to increasing the capacity of our in-house supercomputer.”
Tetsuya Okimoto, Computational Mechanics Engineer
Toyo Advanced Technologies
“By adopting Rescale we were able to reduce the cost of trial production by 3% in addition to improving the speed of our analysis and reducing the total person-hours required. Choosing specialized, multi-cloud infrastructure on Rescale was the best economic option in terms of both solve-speed and cost when compared to increasing the capacity of our in-house supercomputer.”
Nathan Baker, Head of RED-CAT
Arrival
“Our higher productivity will enable us to handle more projects. The Rescale platform makes us more efficient and more attractive to our customers, which then brings us more business and more development projects.”
Kasper Steen Andersen, CAE Manager
Dinex