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#304 Accelerating Data Science with Nick Becker, Technical Product Manager at NVIDIA & Dan Hannah, Associate Director at SES AI

DataFramed

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Maximizing Data Science Impact with GPU Technology

This chapter explores the transition to GPU-centric workflows in cloud-based data science infrastructures, focusing on the efficiency and cost benefits associated with simulating molecular properties. It emphasizes the importance of aligning data science projects with organizational goals to gain buy-in and highlights the transformative potential of data-driven methods in scientific research. The discussion also covers the advancements in machine learning within chemistry and materials science, showcasing projects that facilitate new discoveries and optimize existing processes.

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