cuda

Version	2026.144.1443
Repo	superproject

CUDA toolkit (nvcc, cudart, cuDNN, onnxruntime) stitched into the canonical /usr layout on Fedora and Arch Installs the CUDA compiler driver (nvcc), the CUDA runtime/dev libraries (cudart, nvrtc, cupti, curand, cccl, cufile), cuDNN, and onnxruntime. On Fedora the RPMs land in /usr directly; on Arch the post-install tasks symlink the /opt/cuda binaries, headers, and libs into the same /usr-rooted paths, so every downstream GPU consumer compiles against one layout regardless of distro. Each artifact is a real file or library on disk, so its presence is directly verifiable.

Acceptance plan

This candy’s plan: — the runnable spec charly check executes against a live deployment. check: steps are idempotent probes; run: steps change state.

Intent	Step
run	command=if [ ! -f /etc/fedora-release ]; then exit 0 fi CUDNN_DIR=$(mktemp -d) cd “$CUDNN_DIR” if dnf5 download –enable-repo=“fedora-multimedia” cuda-cudnn-devel 2>/dev/null; then rpm2cpio cuda-cudnn-devel*.rpm | cpio -idm 2>/dev/null [ -d ./usr/include ] && cp -v ./usr/include/cudnn*.h /usr/include/ while IFS= read -r -d ‘’ link; do name=$(basename “$link”) versioned=“” for v in /usr/lib64/“${name}”.; do if [ -f “$v” ] && ! echo “$v” | grep -q ‘.so$’; then versioned=“$v”; break fi done [ -n “$versioned” ] && [ ! -e /usr/lib64/“$name” ] && ln -sv “$(basename “$versioned”)“ /usr/lib64/“$name” done < <(find ./usr/lib64 -maxdepth 1 -name ‘.so’ -type l -print0 2>/dev/null) fi cd / && rm -rf “$CUDNN_DIR”
run	command=if [ ! -f /etc/arch-release ]; then exit 0 fi # nvcc + cuobjdump + ptxas + nvprof — every binary in /opt/cuda/bin for bin in /opt/cuda/bin/; do [ -e “$bin” ] && ln -sf “$bin” /usr/bin/$(basename “$bin”) done # Headers — cudnn.h live in /opt/cuda/targets/x86_64-linux/include # on the cudnn package, while CUDA’s own headers live in # /opt/cuda/include. Symlink both into /usr/include. for inc in /opt/cuda/include/.h /opt/cuda/targets/x86_64-linux/include/.h; do [ -e “$inc” ] && ln -sf “$inc” /usr/include/$(basename “$inc”) done # Libraries: libcudart, libcudnn, libcurand, etc. mkdir -p /usr/lib64 for so in /opt/cuda/targets/x86_64-linux/lib/.so /opt/cuda/lib64/.so; do [ -e “$so” ] && ln -sf “$so” /usr/lib64/$(basename “$so”) done
check	the nvcc CUDA compiler driver is on the canonical /usr path
check	nvcc reports its CUDA compilation-tools release
check	the cuDNN header is available at /usr/include regardless of distro
check	the CUDA runtime library is linkable from the canonical /usr/lib64 path
agent-check	downstream GPU layers (llama-cpp, vllm, comfyui, jupyter-ml) compile against the same /usr-rooted CUDA layout on both Fedora and Arch
check	package=cuda-cudart-devel
check	command=ls /usr/include/cudnn.h
check	package=onnxruntime