cuML is a suite of fast, GPU-accelerated machine learning algorithms designed for data science and analytical tasks. Our API mirrors scikit-learn, providing practitioners with the familiar fit-predict …

cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.

NVIDIA cuML is an open-source CUDA-X™ Data Science library that accelerates scikit-learn, UMAP, and HDBSCAN on GPUs—supercharging machine learning workflows with no code changes …

Aug 6, 2025 · cuML is a GPU accelerated machine learning library developed by NVIDIA as part of the RAPIDS AI ecosystem.

Find out details on featured RAPIDS projects like cuDF, cuML, cuGraph, and more. Also learn about those using our integrated with RAPIDS in our Ecosystem Software Section

Dec 11, 2025 · Option to build cuML without multiGPU algorithms. Removes dependency on nccl, libcumlprims and ucxx. RAFT's Python and Cython is located in the RAFT repository.

Sep 18, 2025 · This article offers a hands-on Python introduction to cuML, a Python library from RAPIDS AI (an open-source suite within NVIDIA) for GPU-accelerated machine learning workflows across …