The data science workflow has traditionally been slow and cumbersome when it comes to loading, filtering, and manipulating data, as well as ML training itself. NVIDIA RAPIDS delivers GPU-accelerated machine learning and analytics libraries, deployed on NVIDIA GPU-platforms for maximized data science productivity, performance, and insights.
Join us for this live webinar, where the attendees will learn:
How RAPIDS accelerates your Python data science tool-chain with minimal code changes and no new tools to learn
How to use the CUDA Array Interface
Jupyter notebook examples that demonstrate the usage of these libraries
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