#### Updating redistributables {#cuda-updating-redistributables}
1. Go to NVIDIA's index of CUDA redistributables: <https://developer.download.nvidia.com/compute/cuda/redist/>
2. Make a note of the new version of CUDA available.
3. Run
```bash
nix run github:connorbaker/cuda-redist-find-features -- \
download-manifests \
--log-level DEBUG \
--version <newest CUDA version> \
https://developer.download.nvidia.com/compute/cuda/redist \
./pkgs/development/cuda-modules/cuda/manifests
```
This will download a copy of the manifest for the new version of CUDA.
4. Run
```bash
nix run github:connorbaker/cuda-redist-find-features -- \
process-manifests \
--log-level DEBUG \
--version <newest CUDA version> \
https://developer.download.nvidia.com/compute/cuda/redist \
./pkgs/development/cuda-modules/cuda/manifests
```
This will generate a `redistrib_features_<newest CUDA version>.json` file in the same directory as the manifest.
5. Update the `cudaVersionMap` attribute set in `pkgs/development/cuda-modules/cuda/extension.nix`.
#### Updating cuTensor {#cuda-updating-cutensor}
1. Repeat the steps present in [Updating CUDA redistributables](#cuda-updating-redistributables) with the following changes:
- Use the index of cuTensor redistributables: <https://developer.download.nvidia.com/compute/cutensor/redist>
- Use the newest version of cuTensor available instead of the newest version of CUDA.
- Use `pkgs/development/cuda-modules/cutensor/manifests` instead of `pkgs/development/cuda-modules/cuda/manifests`.
- Skip the step of updating `cudaVersionMap` in `pkgs/development/cuda-modules/cuda/extension.nix`.
#### Updating supported compilers and GPUs {#cuda-updating-supported-compilers-and-gpus}
1. Update `nvccCompatibilities` in `pkgs/development/cuda-modules/_cuda/data/nvcc.nix` to include the newest release of NVCC, as well as any newly supported host compilers.
2. Update `cudaCapabilityToInfo` in `pkgs/development/cuda-modules/_cuda/data/cuda.nix` to include any new GPUs supported by the new release of CUDA.
#### Updating the CUDA Toolkit runfile installer {#cuda-updating-the-cuda-toolkit}
::: {.warning}
While the CUDA Toolkit runfile installer is still available in Nixpkgs as the [`cudaPackages.cudatoolkit`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages.cudatoolkit) attribute, its use is not recommended, and it should be considered deprecated. Please migrate to the CUDA redistributables provided by the [`cudaPackages`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages) package set.
To ensure packages relying on the CUDA Toolkit runfile installer continue to build, it will continue to be updated until a migration path is available.
:::
1. Go to NVIDIA's CUDA Toolkit runfile installer download page: <https://developer.nvidia.com/cuda-downloads>
2. Select the appropriate OS, architecture, distribution, and version, and installer type.
- For example: Linux, x86_64, Ubuntu, 22.04, runfile (local)
- NOTE: Typically, we use the Ubuntu runfile. It is unclear if the runfile for other distributions will work.
3. Take the link provided by the installer instructions on the webpage after selecting the installer type and get its hash by running:
```bash
nix store prefetch-file --hash-type sha256 <link>
```
4. Update `pkgs/development/cuda-modules/cudatoolkit/releases.nix` to include the release.
#### Updating the CUDA package set {#cuda-updating-the-cuda-package-set}
1. Include a new `cudaPackages_<major>_<minor>` package set in `pkgs/top-level/all-packages.nix`.
- NOTE: Changing the default CUDA package set should occur in a separate PR, allowing time for additional testing.
2. Successfully build the closure of the new package set, updating `pkgs/development/cuda-modules/cuda/overrides.nix` as needed. Below are some common failures:
| Unable to ... | During ... | Reason | Solution | Note |