diff --git a/hwaccel.ml.yml b/hwaccel.ml.yml
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+# Configurations for hardware-accelerated machine learning
+
+# If using Unraid or another platform that doesn't allow multiple Compose files,
+# you can inline the config for a backend by copying its contents
+# into the immich-machine-learning service in the docker-compose.yml file.
+
+# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.
+
+services:
+#  armnn:
+#    devices:
+#      - /dev/mali0:/dev/mali0
+#    volumes:
+#      - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro
+#      - /usr/lib/libmali.so:/usr/lib/libmali.so:ro
+
+#  cpu: {}
+
+#  cuda:
+#    deploy:
+#      resources:
+#        reservations:
+#          devices:
+#            - driver: nvidia
+#              count: 1
+#              capabilities:
+#                - gpu
+
+  openvino:
+#    device_cgroup_rules:
+#      - 'c 189:* rmw'
+#    devices:
+#      - /dev/dri:/dev/dri
+    volumes:
+      - /dev/bus/usb:/dev/bus/usb
+      - /dev/dri:/dev/dri
+    hostname: immich-ml
+    networks:
+      - traefik_backend
+
+#  openvino-wsl:
+#    devices:
+#      - /dev/dri:/dev/dri
+#      - /dev/dxg:/dev/dxg
+#    volumes:
+#      - /dev/bus/usb:/dev/bus/usb
+#      - /usr/lib/wsl:/usr/lib/wsl
+
+networks:
+  postgresql_db-backend:
+    external: true
+  traefik_backend:
+    external: true