diff --git a/docker-compose.yml b/docker-compose.yml
index b8f48577a..10a55e0dd 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -6,6 +6,15 @@ services:
     # image: freqtradeorg/freqtrade:develop
     # Use plotting image
     # image: freqtradeorg/freqtrade:develop_plot
+    # # Enable GPU Image and GPU Resources (only relevant for freqAI)
+    # # Make sure to uncomment the whole deploy section
+    # deploy:
+    #   resources:
+    #     reservations:
+    #       devices:
+    #         - driver: nvidia
+    #           count: 1
+    #           capabilities: [gpu]
     # Build step - only needed when additional dependencies are needed
     # build:
     #   context: .
@@ -16,7 +25,7 @@ services:
       - "./user_data:/freqtrade/user_data"
     # Expose api on port 8080 (localhost only)
     # Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
-    # before enabling this.
+    # for more information.
     ports:
       - "127.0.0.1:8080:8080"
     # Default command used when running `docker compose up`
@@ -26,12 +35,4 @@ services:
       --db-url sqlite:////freqtrade/user_data/tradesv3.sqlite
       --config /freqtrade/user_data/config.json
       --strategy SampleStrategy
-    # Enable GPU Image and GPU Resources
-    #image: freqtradeorg/freqtrade:develop_freqaitorch
-    #deploy:
-    #  resources:
-    #    reservations:
-    #      devices:
-    #        - driver: nvidia
-    #          count: 1
-    #          capabilities: [gpu]
+
diff --git a/docker/docker-compose-freqai.yml b/docker/docker-compose-freqai.yml
new file mode 100644
index 000000000..e8b3b89a1
--- /dev/null
+++ b/docker/docker-compose-freqai.yml
@@ -0,0 +1,37 @@
+---
+version: '3'
+services:
+  freqtrade:
+    image: freqtradeorg/freqtrade:stable_freqaitorch
+    # # Enable GPU Image and GPU Resources
+    # # Make sure to uncomment the whole deploy section
+    # deploy:
+    #   resources:
+    #     reservations:
+    #       devices:
+    #         - driver: nvidia
+    #           count: 1
+    #           capabilities: [gpu]
+
+    # Build step - only needed when additional dependencies are needed
+    # build:
+    #   context: .
+    #   dockerfile: "./docker/Dockerfile.custom"
+    restart: unless-stopped
+    container_name: freqtrade
+    volumes:
+      - "./user_data:/freqtrade/user_data"
+    # Expose api on port 8080 (localhost only)
+    # Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
+    # for more information.
+    ports:
+      - "127.0.0.1:8080:8080"
+    # Default command used when running `docker compose up`
+    command: >
+      trade
+      --logfile /freqtrade/user_data/logs/freqtrade.log
+      --db-url sqlite:////freqtrade/user_data/tradesv3.sqlite
+      --config /freqtrade/user_data/config.json
+      --freqai-model XGBoostClassifier
+      --strategy SampleStrategy
+
diff --git a/docs/freqai-configuration.md b/docs/freqai-configuration.md
index e7aca20be..7f5783a6e 100644
--- a/docs/freqai-configuration.md
+++ b/docs/freqai-configuration.md
@@ -248,9 +248,11 @@ The easiest way to quickly run a pytorch model is with the following command (fo
 freqtrade trade --config config_examples/config_freqai.example.json --strategy FreqaiExampleStrategy --freqaimodel PyTorchMLPRegressor --strategy-path freqtrade/templates 
 ```
 
-!!! note "Installation/docker"
+!!! Note "Installation/docker"
     The PyTorch module requires large packages such as `torch`, which should be explicitly requested during `./setup.sh -i` by answering "y" to the question "Do you also want dependencies for freqai-rl or PyTorch (~700mb additional space required) [y/N]?".
     Users who prefer docker should ensure they use the docker image appended with `_freqaitorch`.
+    We do provide an explicit docker-compose file for this in `docker/docker-compose-freqai.yml` - which can be used via `docker compose -f docker/docker-compose-freqai.yml run ...` - or can be copied to replace the original docker file.
+    This docker-compose file also contains a (disabled) section to enable GPU resources within docker containers. This obviously assumes the system has GPU resources available.
 
 ### Structure