Brian Pepin is a highly accomplished technology executive and engineer, currently serving as Vice President, Distinguished Engineer, and General Manager of AI Platforms at NVIDIA. With over 25 years of experience in the tech industry, he has a profound expertise in artificial intelligence, high-performance computing, and large-scale system architecture. Brian is recognized for his leadership in developing cutting-edge AI infrastructure and software solutions that power a wide array of applications. His career includes impactful roles at other leading technology companies, where he consistently drove innovation and engineering excellence. He is passionate about pushing the boundaries of AI and accelerated computing to solve complex real-world problems.
Brian Pepin's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheading the development, strategy, and vision for NVIDIA's comprehensive AI platforms, enabling breakthroughs in deep learning, machine learning, and generative AI across various industries.
Recognized with the prestigious title of Distinguished Engineer, signifying exceptional technical expertise, innovation, and significant contributions to NVIDIA's technological advancements and industry leadership.
Instrumental in advancing GPU-accelerated computing, contributing to solutions that have revolutionized fields from scientific research to autonomous vehicles and cloud computing.
Key contributor to the architecture and deployment of some of the world's most powerful AI supercomputers and data center infrastructure, facilitating complex AI model training and inference.
University of California, Berkeley - Year 2009
University of Washington - Year 2006
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Rune Labs is a precision neurology company focused on developing a software and data analytics platform to improve care delivery and accelerate therapy development for neurological disorders, particularly Parkinson's disease. They leverage data from brain imaging, electrophysiology, wearable devices, and other clinical sources to provide actionable insights for clinicians and researchers, aiming to personalize treatments and streamline clinical trials.
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