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NVIDIA Workshop for UF: Accelerating Data Science Flows

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UFIT is hosting Accelerated Data Science with RAPIDS, a two-day workshop. The workshop, part of NVIDIA’s Deep Learning Institute (DLI), will be taught in two, four-hour sessions from 9:00 a.m. – 1:00 p.m. on November 15 and 17.

In Accelerated Data Science with RAPIDS, developers will learn to build and execute end-to-end GPU accelerated data science workflows to quickly explore, iterate, and get their work into production. Using the RAPIDS accelerated data science libraries, developers are able to apply a variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale. Workshop attendees get access to fully configured, GPU-accelerated servers in the cloud and guidance from a DLI-certified instructor. The workshop has a registration limit of 100, so registering early is strongly recommended. A $10 registration fee covers both sessions. Please contact Ms. Ying Zhang, AI team lead, with any questions about this workshop or other upcoming AI training and events.

The November 2021 AI and NVIDIA training schedule is listed below. Details and registration links are available on

Nov. 4: NVIDIA Metropolis
Nov. 9: AI in Matlab at RC
Nov. 15: NVIDIA DLI Workshop Accelerated Data Science with RAPIDS (part one)
Nov. 17: NVIDIA DLI Workshop Accelerated Data Science with RAPIDS (part two)
Nov. 30: NVIDIA CLARA Imaging