gpuinfo: Lightweight Hardware and GPU Compute Detection

Detects central processing unit and graphics processing unit hardware and reports the apparent availability of 'CUDA', 'Metal', 'ROCm', and 'OpenCL' compute backends. Detection uses operating-system information, documented platform interfaces, and optional command-line utilities, without requiring a GPU framework, 'Python', or a vendor software development kit. Backend interpretation follows the official 'CUDA' <https://docs.nvidia.com/cuda/cuda-driver-api/>, 'Metal' <https://developer.apple.com/documentation/metal>, 'ROCm' <https://rocm.docs.amd.com/>, and 'OpenCL' <https://registry.khronos.org/OpenCL/> documentation. Missing hardware, drivers, libraries, and utilities are handled safely.

Version:	0.1.0
Depends:	R (≥ 3.6.0)
Suggests:	jsonlite, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-26
DOI:	10.32614/CRAN.package.gpuinfo
Author:	Stefano Cacciatore [aut, cre]
Maintainer:	Stefano Cacciatore <tkcaccia at gmail.com>
BugReports:	https://github.com/tkcaccia/gpuinfo/issues
License:	MIT + file LICENSE
URL:	https://github.com/tkcaccia/gpuinfo
NeedsCompilation:	yes
Materials:	README
CRAN checks:	gpuinfo results

Documentation:

Reference manual:	gpuinfo.html , gpuinfo.pdf
Vignettes:	Hardware Detection and Validation (source, R code)

Downloads:

Package source:	gpuinfo_0.1.0.tar.gz
Windows binaries:	r-devel: gpuinfo_0.1.0.zip, r-release: gpuinfo_0.1.0.zip, r-oldrel: gpuinfo_0.1.0.zip
macOS binaries:	r-release (arm64): gpuinfo_0.1.0.tgz, r-oldrel (arm64): gpuinfo_0.1.0.tgz, r-release (x86_64): gpuinfo_0.1.0.tgz, r-oldrel (x86_64): gpuinfo_0.1.0.tgz

Linking:

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