Install this package:
emerge -a dev-util/nvidia-cuda-toolkit
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask dev-util/nvidia-cuda-toolkit
Or alternatively:
emerge --autounmask-write -a dev-util/nvidia-cuda-toolkit
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 13.2.1 | 8 | -* ~amd64 ~arm64 | 0/13.2.1 |
| 13.1.1 | 8 | -* ~amd64 ~arm64 | 0/13.1.1 |
| 13.0.3 | 8 | -* ~amd64 ~arm64 | 0/13.0.3 |
<pkgmetadata> <maintainer type="project"> <email>sci@gentoo.org</email> <name>Gentoo Science Project</name> </maintainer> <use> <flag name="debugger">Install the CUDA debugger</flag> <flag name="profiler">Install the NVIDIA CUDA profiler (nvprof) and the related libraries</flag> <flag name="rdma">Enable infiniband support via <pkg>sys-cluster/rdma-core</pkg></flag> <flag name="sanitizer">Install compute-sanitizer tool</flag> </use> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p dev-util/nvidia-cuda-toolkit |
euse -E <flag> -p dev-util/nvidia-cuda-toolkit |
euse -D <flag> -p dev-util/nvidia-cuda-toolkit
| Flag | Description | 13.2.1 | 13.1.1 | 13.0.3 |
|---|---|---|---|---|
| debugger | Install the CUDA debugger | ✓ | ✓ | ✓ |
| examples | ⚠️ | ✓ | ✓ | ✓ |
| profiler | Install the NVIDIA CUDA profiler (nvprof) and the related libraries | ✓ | ✓ | ✓ |
| rdma | Enable infiniband support via <pkg>sys-cluster/rdma-core</pkg> | ✓ | ✓ | ✓ |
| sanitizer | Install compute-sanitizer tool | ✓ | ✓ | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | cuda_13.0.3_580.126.20_linux.run | 4329438671 bytes | 13.0.3 |
| DIST | cuda_13.0.3_580.126.20_linux_sbsa.run | 4071904076 bytes | 13.0.3 |
| DIST | cuda_13.1.1_590.48.01_linux.run | 4304905023 bytes | 13.1.1 |
| DIST | cuda_13.1.1_590.48.01_linux_sbsa.run | 4072253834 bytes | 13.1.1 |
| DIST | cuda_13.2.1_595.58.03_linux.run | 4398952964 bytes | 13.2.1 |
| DIST | cuda_13.2.1_595.58.03_linux_sbsa.run | 4227789234 bytes | 13.2.1 |
| Type | File | Size |
|---|