NVIDIA RAPIDS is a set of open-source, GPU-accelerated data science and AI libraries. It utilizes CUDA to greatly improve the performance of fundamental Python frameworks like Polars, pandas, scikit-learn, and NetworkX.
Chris Deotte, a Senior Data Scientist at NVIDIA, and Jean-Francois Puget, NVIDIA’s Director and Distinguished Engineer, are both Kaggle Grandmasters, the top rank for data scientists on the competitive platform Kaggle.
In this podcast episode, they discuss with Sean Falconer about Kaggle, GPU-acceleration for data science, their biggest performance achievements, challenges with tabular data, and more.
Sean Falconer is an academic, startup founder, and former Googler, currently an AI Entrepreneur in Residence at Confluent working on AI strategy and thought leadership. Connect with Sean on LinkedIn.
Read the transcript of this episode.
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