@@ -28,13 +28,13 @@ The following will retrieve the docker image with each library (+ its native and
2828``` bash
2929REPO=ghcr.io/rapidsai/node
3030
31- VERSIONS=" 22.02.00-runtime-node18.2.0 -cuda11.6.2-ubuntu20.04"
31+ VERSIONS=" 22.02.00-runtime-node16.15.1 -cuda11.6.2-ubuntu20.04"
3232docker pull $REPO :$VERSIONS -cudf
3333docker pull $REPO :$VERSIONS -cuml
3434docker pull $REPO :$VERSIONS -cugraph
3535docker pull $REPO :$VERSIONS -cuspatial
3636
37- VERSIONS=" 22.02.00-runtime-node18.2.0 -cuda11.6.2-ubuntu20.04"
37+ VERSIONS=" 22.02.00-runtime-node16.15.1 -cuda11.6.2-ubuntu20.04"
3838docker pull $REPO :$VERSIONS -glfw
3939
4040# Includes all the above RAPIDS libraries in a single image
@@ -50,7 +50,7 @@ Like the official node images, the default command in the runtime images is `nod
5050
5151``` bash
5252REPO=ghcr.io/rapidsai/node
53- VERSIONS=" 22.02.00-runtime-node18.2.0 -cuda11.6.2-ubuntu20.04"
53+ VERSIONS=" 22.02.00-runtime-node16.15.1 -cuda11.6.2-ubuntu20.04"
5454
5555# Be sure to pass either the `--runtime=nvidia` or `--gpus` flag!
5656docker run --rm --gpus=0 $REPO :$VERSIONS -cudf \
@@ -67,7 +67,7 @@ You can mount your host's X11 socket and `$DISPLAY` envvar, then launch demos th
6767
6868``` bash
6969REPO=ghcr.io/rapidsai/node
70- VERSIONS=" 22.02.00-runtime-node18.2.0 -cuda11.6.2-ubuntu20.04"
70+ VERSIONS=" 22.02.00-runtime-node16.15.1 -cuda11.6.2-ubuntu20.04"
7171
7272# Be sure to pass either the `--runtime=nvidia` or `--gpus` flag!
7373docker run --rm \
@@ -94,7 +94,7 @@ You can use the following technique to install the npm-packed modules into anoth
9494
9595``` bash
9696REPO=ghcr.io/rapidsai/node
97- VERSIONS=" 22.02.00-devel-node18.2.0 -cuda11.6.2-ubuntu20.04"
97+ VERSIONS=" 22.02.00-devel-node16.15.1 -cuda11.6.2-ubuntu20.04"
9898
9999# Pull the latest image of the packaged .tgz artifacts
100100docker pull $REPO :$VERSIONS -packages
0 commit comments