A Challenge for all CAE Users

Have a project that needs more computing power and expertise?

Altair has teamed up with Intel and Amazon Web Service (AWS) to offer a “HPC Challenge” for product design. This is an ideal opportunity for companies interested in testing the viability of engineering in the cloud. Selected participants will be able to run compute-intensive jobs for computer-aided engineering (CAE) on AWS with full access to HyperWorks UnlimitedTM (HWUL) Virtual Appliance, completely free up to 60 days.

We are excited to expose more users with easy access to the possibilities cloud offers for boosting HPC for large scale exploration in an affordable way with free access to design and engineering software, management tools, and experts for support. Projects with a worthy abstract and a problem that cannot be solved quickly within a user’s own compute infrastructure will be chosen by a team of Altair, Intel, and AWS representatives.

Submit your proposal now through October 31. Learn more about HyperWorks Unlimited Physical Appliance and HyperWorks Unlimited Virtual Appliance!

Ravi Kunju

Ravi Kunju

Sr VP Business Development & Strategy – Simulation-Driven Design at Altair Engineering
Ravi Kunju is the Sr VP Business Development & Strategy – Simulation-Driven Design at Altair. Ravi has been active in the area of advanced engineering analytics for over 20 years, promoting and delivering lectures on advanced simulation methods around the world. His publications have covered the application of unique numerical optimization methods to solve manufacturing problems. He earned a master's degree in mechanical engineering from Wayne State University, and an MBA from the University of Michigan, Ann Arbor.
Ravi Kunju
Ravi Kunju

About Ravi Kunju

Ravi Kunju is the Sr VP Business Development & Strategy – Simulation-Driven Design at Altair. Ravi has been active in the area of advanced engineering analytics for over 20 years, promoting and delivering lectures on advanced simulation methods around the world. His publications have covered the application of unique numerical optimization methods to solve manufacturing problems. He earned a master's degree in mechanical engineering from Wayne State University, and an MBA from the University of Michigan, Ann Arbor.