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Innovative Use of HPC in the Cloud for AI, CFD, & LifeScience

Ebru Taylak from the UberCloud

In this video from the 2019 Stanford HPC Conference, Ebru Taylak from the UberCloud presents: Innovative Use of HPC in the Cloud for AI, CFD & LifeScience.

Scientists today have access to advanced tools and software to simulate complex behavior and interactions within their disciplines. However, typical workstations often do not provide enough compute power to solve their problems. A scalable platform such as the cloud, provides more accurate results, while reducing solution times. In this presentation, we will demonstrate recent examples of innovative use cases of HPC in the Cloud, such as, “Personalized Non-invasive Clinical Treatment of Schizophrenia and Parkinson’s” and “Deep Learning for Steady State Fluid Flow Prediction”. We will explore the challenges for the specific problems, demonstrate how HPC in the Cloud helped overcome these challenges, look at the benefits, and share the learnings.

Ebru Taylak manages marketing at UberCloud. Her background includes nearly a decade of experience in the computer aided engineering field, mainly focusing on automotive projects. She is also an entrepreneur and held previous roles in technical sales, marketing and customer services of technology companies. She holds a Master of Science degree from the George Washington University and a Bachelor of Science in Engineering from Istanbul Technical University.

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