diff --git a/website/docs/usage/projects.md b/website/docs/usage/projects.md
index f8d5a3761..95e20525a 100644
--- a/website/docs/usage/projects.md
+++ b/website/docs/usage/projects.md
@@ -921,6 +921,14 @@ package is installed in the same environment as spaCy, it will automatically add
 [parallel training](/usage/training#parallel-training) for more details on how
 it works under the hood.
 
+<Project id="integrations/ray">
+
+Get started with parallel training using our project template. It trains a
+simple model on a Universal Dependencies Treebank and lets you parallelize the
+training with Ray.
+
+</Project>
+
 You can integrate [`spacy ray train`](/api/cli#ray-train) into your
 `project.yml` just like the regular training command and pass it the config, and
 optional output directory or remote storage URL and config overrides if needed.
@@ -940,10 +948,6 @@ commands:
       - "training/model-best"
 ```
 
-<!-- TODO: <Project id="integrations/ray">
-
-</Project> -->
-
 ---
 
 ### Weights & Biases {#wandb} <IntegrationLogo name="wandb" width={175} height="auto" align="right" />
diff --git a/website/docs/usage/training.md b/website/docs/usage/training.md
index 6e9de62c5..071434162 100644
--- a/website/docs/usage/training.md
+++ b/website/docs/usage/training.md
@@ -895,9 +895,13 @@ cluster. If it's not set, Ray will run locally.
 python -m spacy ray train config.cfg --n-workers 2
 ```
 
-<!-- TODO: <Project id="integrations/ray">
+<Project id="integrations/ray">
 
-</Project> -->
+Get started with parallel training using our project template. It trains a
+simple model on a Universal Dependencies Treebank and lets you parallelize the
+training with Ray.
+
+</Project>
 
 ### How parallel training works {#parallel-training-details}