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Students

SeidenbergÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™s Deep Learning Afternoon with Thunder Compute

By
Ramakrishna Sonakam
Posted
March 17, 2025
Seidenberg's Pace Data Science Club students sitting in a lecture hall and observing a computing presentation.

The Seidenberg School of Computer Science and Information SystemsÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™ recently hosted an exciting and informative event featuring , a Y-Combinator-backed pioneering company in GPU cloud computing. Co-founders Carl Peterson and Brian Model joined Pace students to share insights into their cutting-edge technology and its impact on the future of deep learning.

Thunder Compute is known for revolutionizing the deep learning landscape with its GPU virtualization technology, which powers a highly efficient cloud platform and makes user access to powerful GPUs significantly more accessible.

During the event, the co-founders provided an in-depth look into their innovative platform before guiding students through a hands-on installation process. Their interactive approach ensured that attendees received personalized support and had their questions addressed effectively. The session aimed to demystify GPU virtualization and provide students with firsthand experience in setting up and utilizing powerful cloud-based compute instances.

As part of the eventÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™s hands-on session, participants ran a deep learning model script developed by the Pace Data Science Club. By leveraging Thunder ComputeÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™s GPU acceleration, students were able to experience the significant performance improvements firsthand, reinforcing the advantages of such a solution for deep learning applications.

Throughout the session, students actively engaged with the co-founders in discussions about the evolving landscape of cloud-based GPU computing, particularly in data science and machine learning. These conversations highlighted the growing significance of cost-efficient, high-performance solutions in the industry, reinforcing Thunder ComputeÄÐÅ®²Ù±ÆÊÓƵÈí¼þ™s unique value proposition. The dialogue also explored broader industry trends, including AI model training, scalability challenges, and the future of cloud-based infrastructure.

The event concluded with a heartfelt expression of gratitude to Carl and Brian for traveling to New York to share their expertise and connect with Pace students. Their visit provided a valuable opportunity for attendees to gain hands-on experience while expanding their professional networks in the tech industry. With the rapid advancements in AI and machine learning, events like these serve as crucial learning experiences, empowering students with the knowledge and skills necessary to navigate the evolving landscape.

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