USE Flag: cuda

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Global Description

Enable NVIDIA CUDA support (computation on GPU)

Local and Metadata Descriptions

Metadata Descriptions (metadata.xml)

Local Descriptions (use.local.desc)

Packages Using This Flag

Package Local Description (use.local.desc) Metadata Description (metadata.xml)
acct-user/ollama - -
sci-misc/llama-cpp - -
sci-ml/ollama Enable NVIDIA CUDA support Enable NVIDIA CUDA support
app-containers/docker - -
media-gfx/blender Build cycles renderer with nVidia CUDA support. Build cycles renderer with nVidia CUDA support.
media-libs/opencv Enable NVIDIA Cuda computations support (Experimental!) Enable NVIDIA Cuda computations support (Experimental!)
sci-ml/ollama-bin - Support for Nvidia CUDA compatible cards
net-misc/gminer-bin - Support Nvidia graphics cards
net-misc/lolminer-bin - Support Nvidia graphics cards
net-misc/srbminer-multi-bin - Support Nvidia graphics cards
net-misc/xmrig - Build cuda plugin
net-misc/xmrigcc - Build cuda plugin
app-misc/ollama - Enable NVIDIA CUDA support
dev-cpp/eigen - -
dev-cpp/kokkos - -
dev-libs/pocl - Enable the CUDA backend for NVIDIA GPUs
dev-libs/starpu - -
dev-util/bear - -
llvm-runtimes/openmp - -
media-gfx/openvdb Enable support for CUDA in NanoVDB Enable support for CUDA in NanoVDB
media-libs/oidn - -
media-libs/openimageio - -
media-libs/opensubdiv Enable NVIDIA CUDA Toolkit support through dev-util/nvidia-cuda-toolkit Enable NVIDIA CUDA Toolkit support through <pkg>dev-util/nvidia-cuda-toolkit</pkg>
media-video/ffmpeg Enable support for various GPU-accelerated filters using NVIDIA PTX compiled with llvm-core/clang Enable support for various GPU-accelerated filters using NVIDIA PTX compiled with <pkg>llvm-core/clang</pkg>
media-video/ffmpeg-compat Enable support for various GPU-accelerated filters using NVIDIA PTX compiled with llvm-core/clang Enable support for various GPU-accelerated filters using NVIDIA PTX compiled with <pkg>llvm-core/clang</pkg>
net-analyzer/suricata - Enable NVIDIA Cuda computations support
net-misc/moonlight Enable accelerated video rendering on NVIDIA hardware Enable accelerated video rendering on NVIDIA hardware
net-misc/sunshine Enable accelerated video encoding on NVIDIA hardware Enable accelerated video encoding on NVIDIA hardware
sci-chemistry/gromacs Enable cuda non-bonded kernels Enable cuda non-bonded kernels
sci-chemistry/vmd - -
sci-libs/ceres-solver - -
sci-libs/cholmod - Use nvidia cuda toolkit for speeding up computations
sci-libs/clblast Build with support for cuda instead of opencl (beta!) Build with support for cuda instead of opencl (beta!)
sci-libs/dlib Enable support for CUDA for Deep Neural Networks (cuDNN) on GPU (experimental) Enable support for CUDA for Deep Neural Networks (cuDNN) on GPU (experimental)
sci-libs/flann - -
sci-libs/ginkgo Add support for cuda assimp (dev-util/nvidia-cuda-toolkit) Add support for cuda assimp (<pkg>dev-util/nvidia-cuda-toolkit</pkg>)
sci-libs/pastix - -
sci-libs/pcl - -
sci-libs/suitesparse - -
sci-libs/trilinos - -
sci-libs/vtk - -
sci-mathematics/mathematica - Install with cuda support
sci-mathematics/petsc - -
sci-misc/boinc - -
sci-ml/caffe2 - -
sci-ml/gloo - -
sci-ml/tensorpipe - -
sci-ml/torchvision - -
sci-physics/espresso - -
sci-physics/root - -
sys-apps/hwloc Enable CUDA device discovery using libcudart Enable CUDA device discovery using libcudart
sys-block/libfabric - -
sys-cluster/openmpi - -
x11-wm/xpra - -
sci-ml/llama-cpp - ggml: use CUDA ; in order for it to compile also tag .... "cpu" has to be selected, don't ask why. Use CMAKE_EXTRA_CACHE_FILE env variable (check https://gitweb.gentoo.org/repo/gentoo.git/tree/eclass/cmake.eclass ) to specify next variables: CMAKE_CUDA_ARCHITECTURES ( use next command to find native architecture: `nvidia-smi --query-gpu=compute_cap --format=csv | tail -n 1 | sed -e 's/\.//g'` ) ; GGML_CUDA_PEER_MAX_BATCH_SIZE ggml: max. batch size for using peer access, default: 128
sci-libs/tensorflow - -
sci-libs/einspline - Build with cuda
media-gfx/blender-bin - -
media-gfx/luxcorerender - -
dev-python/NewsFrames - -
dev-python/NewsSentiment - -
dev-python/absl-extra - -
dev-python/ctransformers - -
dev-python/datadm - -
dev-python/deface - -
dev-python/elephant - -
dev-python/gpjax-nightly - -
dev-python/jax - -
dev-python/jaxutils - -
dev-python/libceed - -
dev-python/onnxruntime-gpu - -
dev-python/psyneulink - -
dev-python/py4DSTEM - -
dev-python/spacy - -
dev-python/spacy-nightly - -
dev-python/spacy-transformers - -
dev-python/spacy-wrap - -
dev-python/thinc - -
dev-python/cupy - Enable support for nVidia CUDA
sci-libs/lightgbm - -
dev-libs/boost-compute - build cuda examples and tests
sci-biology/fsl - Add support for CUDA
sci-biology/megahit - Enable NVIDIA GTX680 (4G memory) and Tesla K40c (12G memory) with CUDA 5.5, 6.0 and 6.5
sci-chemistry/relion - Enable CUDA support
sci-libs/arrayfire - Build CUDA backend.
sci-libs/torchaudio - -
sys-devel/DPC++ - use the cuda backend
dev-cpp/thrust - -
dev-python/hyperspy - -
media-libs/qtav - Enable cuda support
media-libs/libvmaf - -
sci-physics/lammps - Enable cuda gpu computing support
media-libs/waifu2x-converter-cpp - Compiles with CUDA support.
media-plugins/vapoursynth-bm3dcuda - -
media-plugins/vapoursynth-fvsfunc - -
media-plugins/vs-jetpack - -