diff --git a/content/config/containers/resource_constraints.md b/content/config/containers/resource_constraints.md
index f440ab3c81..75327b94dd 100644
--- a/content/config/containers/resource_constraints.md
+++ b/content/config/containers/resource_constraints.md
@@ -273,22 +273,9 @@ done so.
 
 Verify that your GPU is running and accessible.
 
-#### Install nvidia-container-runtime
+#### Install nvidia-container-toolkit
 
-Follow the instructions at (https://nvidia.github.io/nvidia-container-runtime/)
-and then run this command:
-
-```console
-$ apt-get install nvidia-container-runtime
-```
-
-Ensure the `nvidia-container-runtime-hook` is accessible from `$PATH`.
-
-```console
-$ which nvidia-container-runtime-hook
-```
-
-Restart the Docker daemon.
+Follow the official NVIDIA Container Toolkit [installation instructions](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
 
 #### Expose GPUs for use
 
@@ -350,10 +337,10 @@ This enables the `utility` driver capability which adds the `nvidia-smi` tool to
 the container.
 
 Capabilities as well as other configurations can be set in images via
-environment variables. More information on valid variables can be found at the
-[nvidia-container-runtime](https://github.com/NVIDIA/nvidia-container-runtime)
-GitHub page. These variables can be set in a Dockerfile.
+environment variables. More information on valid variables can be found in the
+[nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html)
+documentation. These variables can be set in a Dockerfile.
 
 You can also use CUDA images which sets these variables automatically. See the
-[CUDA images](https://github.com/NVIDIA/nvidia-docker/wiki/CUDA) GitHub page
-for more information.
+official [CUDA images](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda)
+NGC catalog page.