USE Flag: cuda

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Local and Metadata Descriptions

Metadata Descriptions (metadata.xml)

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Packages Using This Flag

Package Local Description (use.local.desc) Metadata Description (metadata.xml)
acct-user/ollama - -
app-accessibility/whisper-cpp - Enable NVIDIA CUDA GPU backend
dev-python/comfy-aimdo-bin - -
dev-python/comfy-kitchen-bin - -
dev-python/cupy - Enable support for nVidia CUDA
dev-python/hyperspy - -
dev-python/sasmodels - Enable CUDA GPU-accelerated model evaluation via <pkg>dev-python/pycuda</pkg>
dev-python/vllm - -
media-gfx/comfyui - Build the torch backend (<pkg>sci-ml/caffe2</pkg>) with CUDA/NVIDIA acceleration; also selects the CUDA wheels of <pkg>dev-python/comfy-aimdo-bin</pkg> and <pkg>dev-python/comfy-kitchen-bin</pkg> (otherwise their non-CUDA wheels)
media-libs/opencv - Enable NVIDIA Cuda computations support (Experimental!)
sci-libs/cholmod - Use nvidia cuda toolkit for speeding up computations
sci-misc/llama-cpp - -
sci-ml/caffe2 - -
sci-ml/ollama - Build the CUDA (cuda_v13) llama-server GPU backend via <pkg>dev-util/nvidia-cuda-toolkit</pkg>
sci-ml/sherpa-onnx - Build the NVIDIA CUDA backend (requires CUDA Toolkit; nvcc is pinned to gcc-15 on this host)
sci-ml/torchcodec - Build the NVIDIA CUDA decoding/encoding backend (libnpp + libnvrtc)