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RAPIDS (Using GPU for Fast Computations)

Explore how RAPIDS leverages GPU technology to speed up data science workflows. Understand its low-level optimizations, multi-GPU scaling, and libraries such as cuDF for dataframes and cuML for machine learning. This lesson helps you use RAPIDS to accelerate model training and improve productivity in machine learning projects.

RAPIDS

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RAPIDS is an open source suite of software libraries and APIs that enable users to execute their pipeline entirely on the GPU.

RAPIDS has the following characteristics:

  • Low-Level Compute Optimization
  • Exposes GPU parallelism
  • High-Bandwidth memory speed
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