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cuML - RAPIDS ML Algorithms

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library 26.4.0 ·python
verified Jun 28, 2026

cuML is a suite of GPU-accelerated machine learning algorithms provided by the RAPIDS ecosystem, designed to be API-compatible with scikit-learn for ease of use. It leverages NVIDIA CUDA for high-performance computing on GPUs, significantly speeding up tasks like clustering, regression, classification, and dimensionality reduction. It generally follows a monthly release cadence, aligning with the broader RAPIDS release schedule. The `cuml-cu12` package specifically targets CUDA 12.

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