Cloud Manufacturing Solutions

6 of the 10 Top Automotive OEMs Use Rescale

From concept through to manufacturing, the highly competitive consumer products field, requires a fast, scalable and agile design environment to innovate and rapidly turnaround new simulations and designs. High performance computing hardware and advanced software on Rescale is used for simulations ranging from bicycle frame integrity, tennis shoe fatigue, vortices around spinning soccer balls and smartphone drops.

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Leading Manufacturing Companies Benefit From Rescale

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Secure Workflows

With end-to-end encryption and the latest certifications, Rescale offers a secure environment for your data.

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Advanced File Management

Rescale’s ScaleX platform has comprehensive file management capabilities built-in for efficient and secure data transfer, version management.

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Full HPC Management

Rescale’s ScaleX Enterprise offers full management oversight and control of HPC resources, teams and budgets.

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Featured Customer: Trek Bicycle

For leading bicycle designer, Trek, the mission has always been simple: build the best bikes in the world. For complex coupled analyses, Trek turns to Rescale to:

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Cost Savings

Run coupled, complex Star-CCM+ / HEEDS optimization analyses leveraging existing software licenses for reduced cost

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Reduction in Simulation Time

Significantly reduce simulation runtime by using the latest HPC resources available in Rescale’s 30+ advanced, global data centers

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Fully explore the experiment design space to make informed decisions about drafting techniques related to competitive bicycling

HPC Resources for Manufacturing Professionals

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Rescale Manufacturing Datasheet

Rescale Accelerates HPC Digital Transformation in Manufacturing to Develop Next-Gen Products. High performance computing (HPC) drives manufacturing innovation at every stage of product development.
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How Cloud-Based Supercomputing Is Changing R&D – Harvard Business Review

The cloud has made the processing power of the world’s most powerful computers accessible to a wider range of companies than ever before. Instead of having to architect, engineer, and build a supercomputer, companies can now rent hours on the cloud, making it possible bring tremendous computational power to bear on R&D. But where should…