Rapids
RAPIDS is an open-source suite of software libraries developed by NVIDIA, designed to accelerate data science and analytics workflows using GPU computing. By leveraging the power of NVIDIA GPUs, RAPIDS enables data scientists to perform complex data processing tasks significantly faster than traditional CPU-based methods. The suite includes libraries like cuDF, which mimics the Pandas API, allowing for seamless integration and easier transition for users familiar with Pandas. RAPIDS is particularly well-suited for handling large datasets, making it an essential tool for modern data analysis, machine learning, and feature engineering applications.
Pandas vs Polars vs Rapids: What’s the Most Convenient for a Laptop?
Stepping into the ever-evolving realm of data analysis, the choice of the right library for data processing has become important. In this dynamic landscape, Pandas, Polars, and Rapids emerge as formid...
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Feature Engineering with RAPIDS: NFL Data Bowl
Before starting this article, I want to ease your skepticism of switching from pandas to RAPIDS cudf, RAPIDS cudf uses the same API as pandas! RAPIDS is moving traditional Data Science workflows on…
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Quick Install Guide: Nvidia RAPIDS + BlazingSQL on AWS SageMaker
RAPIDS was announced on October 10, 2018 and since then the folks in NVIDIA have worked day and night to add an impressive number of features each release. The preferred installation methods…
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