update docker

.github/workflows/docker.yml

@@ -27,7 +27,7 @@ jobs:
     strategy:
       matrix:
         RAPIDS_VER:
-          - "25.10"
+          - "25.12"
     name: Build Docker images
     runs-on: ubuntu-latest
     permissions:

conda/rsc_rapids_25.08.yml → conda/rsc_rapids_25.12.yml

@@ -5,9 +5,9 @@ channels:
  - conda-forge
  - bioconda
 dependencies:
- - rapids=25.08
+ - rapids=25.12
  - python=3.13
- - cuda-version=12.9
+ - cuda-version=13.0
  - cudnn
  - cutensor
  - cusparselt

docker/Dockerfile.deps

@@ -1,4 +1,4 @@
-ARG CUDA_VER=12.9.0
+ARG CUDA_VER=13.0.2
 ARG LINUX_VER=ubuntu24.04
 
 FROM nvidia/cuda:${CUDA_VER}-base-${LINUX_VER}

docker/docker-push.sh

@@ -2,7 +2,7 @@
 set -euxo pipefail
 
 docker_account=scverse
-rapids_version=25.10
+rapids_version=25.12
 grep -v -- '- rapids-singlecell' conda/rsc_rapids_${rapids_version}.yml > rsc_rapids.yml
 docker build -t rapids-singlecell-deps:latest -f docker/Dockerfile.deps .
 rm rsc_rapids.yml

docs/Installation.md

@@ -2,7 +2,7 @@
 ## Conda
 The easiest way to install *rapids-singlecell* is to use one of the *yaml* file provided in the [conda](https://github.com/scverse/rapids_singlecell/tree/main/conda) folder. These *yaml* files install everything needed to run the example notebooks and get you started.
 ```
-conda env create -f conda/rsc_rapids_25.08.yml #default CUDA-12.9 PYTHON-3.13
+conda env create -f conda/rsc_rapids_25.12.yml #default CUDA-13.0 PYTHON-3.13
 # or
 mamba env create -f conda/rsc_rapids_25.10.yml #default CUDA-12.9 PYTHON-3.13
 ```

docs/release-notes/0.13.5.md

@@ -1,4 +1,4 @@
-### 0.13.5 {small}`the-future`
+### 0.13.5 {small}`2025-12-13`
 
 ```{rubric} Features
 ```
@@ -9,10 +9,6 @@
 ```
 * Improves `pp.neighbors` performance with `all_neighbors` and `nn_descent` when a Dask cluster is active {pr}`499` {smaller}`S Dicks`
 
-
-```{rubric} Bug fixes
-```
-
-
 ```{rubric} Misc
 ```
+* Update Docker Container to work with `CUDA-13` {pr}`520` {smaller}`S Dicks`