diff --git a/docker/Dockerfile-jetson-jetpack4 b/docker/Dockerfile-jetson-jetpack4
index 7705d103df..f9b9a77220 100644
--- a/docker/Dockerfile-jetson-jetpack4
+++ b/docker/Dockerfile-jetson-jetpack4
@@ -41,11 +41,6 @@ RUN sed -i '/^\[http "https:\/\/github\.com\/"\]/,+1d' .git/config && \
     sed -i'' -e 's/"opencv-python/"opencv-python-headless/' pyproject.toml
 ADD https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt .
 
-# Download onnxruntime-gpu 1.8.0 and tensorrt 8.2.0.6
-# Other versions can be seen in https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
-ADD https://nvidia.box.com/shared/static/gjqofg7rkg97z3gc8jeyup6t8n9j8xjw.whl onnxruntime_gpu-1.8.0-cp38-cp38-linux_aarch64.whl
-ADD https://forums.developer.nvidia.com/uploads/short-url/hASzFOm9YsJx6VVFrDW1g44CMmv.whl tensorrt-8.2.0.6-cp38-none-linux_aarch64.whl
-
 # Replace pyproject.toml TF.js version with 'tensorflowjs>=3.9.0' for JetPack4 compatibility
 RUN sed -i 's/^\( *"tensorflowjs\)>=.*\(".*\)/\1>=3.9.0\2/' pyproject.toml
 
@@ -53,9 +48,10 @@ RUN sed -i 's/^\( *"tensorflowjs\)>=.*\(".*\)/\1>=3.9.0\2/' pyproject.toml
 RUN python3 -m pip install --upgrade pip && \
     python3 -m pip install uv
 # Install pip packages and remove extra build files
+# Onnxruntime and TensorRT from https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
 RUN uv pip install --system \
-    onnxruntime_gpu-1.8.0-cp38-cp38-linux_aarch64.whl \
-    tensorrt-8.2.0.6-cp38-none-linux_aarch64.whl \
+    https://github.com/ultralytics/assets/releases/download/v0.0.0/onnxruntime_gpu-1.8.0-cp38-cp38-linux_aarch64.whl \
+    https://github.com/ultralytics/assets/releases/download/v0.0.0/tensorrt-8.2.0.6-cp38-none-linux_aarch64.whl \
     https://github.com/ultralytics/assets/releases/download/v0.0.0/torch-1.11.0a0+gitbc2c6ed-cp38-cp38-linux_aarch64.whl \
     https://github.com/ultralytics/assets/releases/download/v0.0.0/torchvision-0.12.0a0+9b5a3fe-cp38-cp38-linux_aarch64.whl && \
     uv pip install --system -e ".[export]" && \