{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"GPU-accelerated machine learning algorithms with scikit-learn-compatible APIs for clustering, regression, classification, dimensionality reduction, and time series models.","skillfed_tags":["gpu-accelerated","rapids","cuda"],"use_cases":["Accelerate large-scale clustering tasks on GPU when CPU processing is too slow.","Train and deploy regression or classification models on GPU with scikit-learn-compatible interface.","Perform distributed nearest neighbors search across multiple GPUs using Dask.","Run dimensionality reduction on large tabular datasets to prepare features for downstream tasks.","Build time series forecasts on GPU-resident data without CPU bottlenecks."],"what_it_does":"libcuml-cu12 is the CUDA 12 variant of cuML, NVIDIA's GPU-accelerated machine learning library that mirrors scikit-learn's API for tabular ML tasks. It implements clustering, regression, classification, dimensionality reduction, time series, and preprocessing\u2014all running on NVIDIA GPUs instead of CPU.\n\nThe library is designed for data scientists and engineers who want to accelerate traditional ML workflows without writing CUDA code. It depends on cuda-toolkit, libcuvs-cu12, libraft-cu12, librmm-cu12, nvidia-nvjitlink-cu12, and rapids-logger. Multi-GPU and multi-node operation is available via Dask for a growing set of algorithms. Models can be serialized with pickle or joblib for later inference, though deserialization from untrusted sources poses security risks.","worth_installing":"Yes, if you have NVIDIA GPU hardware and need to accelerate scikit-learn-style ML workflows. The active maintenance, permissive Apache-2.0 license, and scikit-learn API compatibility make it a low-risk choice. Install friction is moderate due to CUDA and GPU library dependencies, but that is inherent to GPU compute; no known vulnerabilities. Not suitable without GPU hardware."},"id":"libcuml-cu12","links":{"html":"https://skillfed.io/packages/libcuml-cu12","md":"https://skillfed.io/packages/libcuml-cu12.md","pypi":"https://pypi.org/project/libcuml-cu12/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-06","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"libcuml-cu12","python_support":"supports_current","summary":"cuML - RAPIDS ML Algorithms (C++)"},"popularity":{"monthly_downloads":405616,"position":6902,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"26.8.0"}