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Speaker(s): Griffin Lacey, Mukundhan Srinivasan Facilitator(s): Alireza Darbehani Find the recording, slides, and more info at ... Universities are at the forefront of nurturing the next generation in the emerging technologies of We introduce RAPIDS, a suite of open source libraries that allow users to quickly integrate The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end Travis Oliphant, CEO of Quansight, and early contributor to RAPIDS, explains the work being done to integrate
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cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254
Bringing GPU Accelerated Computing, Data Science and Deep Learning to the Classroom
RAPIDS: Open-Source GPU Data Science
Accelerated Exploratory Data Analysis with pandas on NVIDIA GPUs | Accelerated Data Science Series
Accelerated Data Science with NVIDIA RAPIDS
GPU-Accelerated Data Analytics in Python |SciPy 2020| Joe Eaton
RAPIDS: Open GPU Data Science | Scipy 2019 Tutorial | Scopatz, Becker, Kraus, Gama Dessavre
AIEI-NVIDIA 03: Introduction to Accelerated Data Science
Quansight and RAPIDS Push Data Science Performance
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Last Updated: June 15, 2026
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