cuda.ml: R Interface for the RAPIDS cuML Suite of Libraries
R interface for RAPIDS cuML (<https://github.com/NVIDIA/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).
| Version: | 0.4.0 |
| Depends: | R (≥ 4.1) |
| Imports: | bundle, digest, ellipsis, filelock, hardhat, jsonlite, Rcpp (≥ 1.0.6), rlang (≥ 0.3.0) |
| Suggests: | callr, glmnet, knitr, MASS, modeldata, palmerpenguins, parsnip, purrr, recipes, reticulate, rmarkdown, testthat (≥ 3.1.7), workflows, xgboost |
| OS_type: | unix |
| Published: | 2026-08-21 |
| DOI: | 10.32614/CRAN.package.cuda.ml |
| Author: | Yitao Li  [aut,
cph],
Tomasz Kalinowski [aut, cre, cph],
Daniel Falbel [aut, cph],
RStudio [cph, fnd] |
| Maintainer: | Tomasz Kalinowski <tomasz at posit.co> |
| BugReports: | https://github.com/mlverse/cuda.ml/issues |
| License: | MIT + file LICENSE |
| Copyright: | file inst/COPYRIGHTS cuda.ml copyright details |
| URL: | https://mlverse.github.io/cuda.ml/, https://github.com/mlverse/cuda.ml |
| NeedsCompilation: | no |
| SystemRequirements: | Native operations require Linux x86_64 with glibc 2.28 or newer. GPU-backed operations require a supported NVIDIA GPU and driver 580 or newer. |
| CRAN checks: | cuda.ml results |
Documentation:
| Reference manual: | cuda.ml.html , cuda.ml.pdf |
| Vignettes: |
Get started with cuda.ml (source, R code) Install and manage cuda.ml (source, R code) Save and restore models (source, R code) nvForest inference and deployment (source, R code) Use cuda.ml with tidymodels (source, R code) |
Downloads:
| Package source: | cuda.ml_0.4.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cuda.ml_0.4.0.tgz, r-oldrel (arm64): cuda.ml_0.4.0.tgz, r-release (x86_64): cuda.ml_0.4.0.tgz, r-oldrel (x86_64): cuda.ml_0.4.0.tgz |
| Old sources: | cuda.ml archive |
Linking:
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