diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
index 8a2ba9f841434e..0a445e2442e1f9 100644
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@@ -111,6 +111,10 @@ jobs:
           - platforms: linux/amd64
             device: cuda
             suffix: -cuda
+          
+          - platforms: linux/arm64
+            device: jetson
+            suffix: -jetson
 
           - platforms: linux/amd64
             device: openvino
diff --git a/machine-learning/Dockerfile b/machine-learning/Dockerfile
index 12fb183c953d43..47411b486a9f4f 100644
--- a/machine-learning/Dockerfile
+++ b/machine-learning/Dockerfile
@@ -1,4 +1,5 @@
 ARG DEVICE=cpu
+ARG TARGETARCH
 
 FROM python:3.11-bookworm@sha256:20c1819af5af3acba0b2b66074a2615e398ceee6842adf03cd7ad5f8d0ee3daf AS builder-cpu
 
@@ -6,6 +7,8 @@ FROM builder-cpu AS builder-openvino
 
 FROM builder-cpu AS builder-cuda
 
+FROM builder-cpu AS builder-jetson
+
 FROM builder-cpu AS builder-armnn
 
 ENV ARMNN_PATH=/opt/armnn
@@ -32,7 +35,11 @@ RUN poetry config installer.max-workers 10 && \
 RUN python3 -m venv /opt/venv
 
 COPY poetry.lock pyproject.toml ./
-RUN poetry install --sync --no-interaction --no-ansi --no-root --with ${DEVICE} --without dev
+RUN if [ "$DEVICE" = "jetson" ]; then \
+    # hack to work around poetry not setting the right filename for the wheel https://github.com/python-poetry/poetry/issues/4472
+    wget -q -O onnxruntime_gpu-1.18.0-cp311-cp311-manylinux_aarch64.whl https://nvidia.box.com/shared/static/fy55jvniujjbigr4gwkv8z1ma6ipgspg.whl; fi && \
+    poetry install --sync --no-interaction --no-ansi --no-root --with ${DEVICE} --without dev && \
+    if [ "$DEVICE" = "jetson" ]; then rm onnxruntime_gpu-1.18.0-cp311-cp311-manylinux_aarch64.whl; fi
 
 FROM python:3.11-slim-bookworm@sha256:ed4e985674f478c90ce879e9aa224fbb772c84e39b4aed5155b9e2280f131039 AS prod-cpu
 
@@ -55,6 +62,12 @@ COPY --from=builder-cuda /usr/local/bin/python3 /usr/local/bin/python3
 COPY --from=builder-cuda /usr/local/lib/python3.11 /usr/local/lib/python3.11
 COPY --from=builder-cuda /usr/local/lib/libpython3.11.so /usr/local/lib/libpython3.11.so
 
+FROM nvcr.io/nvidia/l4t-cuda:11.4.19-runtime@sha256:fb22ff080631990dda403fd768acb384dc3745a7e516f5ed1dc4c4944898da78 as prod-jetson
+
+COPY --from=builder-cuda /usr/local/bin/python3 /usr/local/bin/python3
+COPY --from=builder-cuda /usr/local/lib/python3.11 /usr/local/lib/python3.11
+COPY --from=builder-cuda /usr/local/lib/libpython3.11.so /usr/local/lib/libpython3.11.so
+
 FROM prod-cpu AS prod-armnn
 
 ENV LD_LIBRARY_PATH=/opt/armnn
@@ -79,7 +92,7 @@ FROM prod-${DEVICE} AS prod
 ARG DEVICE
 
 RUN apt-get update && \
-    apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ]; then echo "libmimalloc2.0"; fi) && \
+    apt-get install -y --no-install-recommends tini $(if ! { [ "$DEVICE" = "openvino" ] || [ "$DEVICE" = "jetson" ]; }; then echo "libmimalloc2.0"; fi) && \
     apt-get autoremove -yqq && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
diff --git a/machine-learning/poetry.lock b/machine-learning/poetry.lock
index bd09bd8469e677..6665e7bc18b737 100644
--- a/machine-learning/poetry.lock
+++ b/machine-learning/poetry.lock
@@ -2003,6 +2003,28 @@ packaging = "*"
 protobuf = "*"
 sympy = "*"
 
+[[package]]
+name = "onnxruntime-gpu"
+version = "1.18.0"
+description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
+optional = false
+python-versions = "*"
+files = [
+    {file = "onnxruntime_gpu-1.18.0-cp311-cp311-manylinux_aarch64.whl", hash = "sha256:7bdd6c373611235e43c8707fa528539327ff17a969448adf956ddf177d5fc8e7"},
+]
+
+[package.dependencies]
+coloredlogs = "*"
+flatbuffers = "*"
+numpy = ">=1.26.4"
+packaging = "*"
+protobuf = "*"
+sympy = "*"
+
+[package.source]
+type = "file"
+url = "onnxruntime_gpu-1.18.0-cp311-cp311-manylinux_aarch64.whl"
+
 [[package]]
 name = "onnxruntime-gpu"
 version = "1.18.1"
@@ -2636,7 +2658,6 @@ files = [
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
-    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
     {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
     {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
     {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -3607,4 +3628,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<4.0"
-content-hash = "b2b053886ca1dd3a3305c63caf155b1976dfc4066f72f5d1ecfc42099db34aab"
+content-hash = "7f87eff3cd024cae7e0439fa06faf6404670890537077e6245e945e940364c94"
diff --git a/machine-learning/pyproject.toml b/machine-learning/pyproject.toml
index a69fb33a8d50ed..dd9c0095e73676 100644
--- a/machine-learning/pyproject.toml
+++ b/machine-learning/pyproject.toml
@@ -4,7 +4,7 @@ version = "1.114.0"
 description = ""
 authors = ["Hau Tran <alex.tran1502@gmail.com>"]
 readme = "README.md"
-packages = [{include = "app"}]
+packages = [{ include = "app" }]
 
 [tool.poetry.dependencies]
 python = ">=3.10,<4.0"
@@ -12,7 +12,7 @@ insightface = ">=0.7.3,<1.0"
 opencv-python-headless = ">=4.7.0.72,<5.0"
 pillow = ">=9.5.0,<11.0"
 fastapi-slim = ">=0.95.2,<1.0"
-uvicorn = {extras = ["standard"], version = ">=0.22.0,<1.0"}
+uvicorn = { extras = ["standard"], version = ">=0.22.0,<1.0" }
 pydantic = "^1.10.8"
 aiocache = ">=0.12.1,<1.0"
 rich = ">=13.4.2"
@@ -45,7 +45,13 @@ onnxruntime = "^1.15.0"
 optional = true
 
 [tool.poetry.group.cuda.dependencies]
-onnxruntime-gpu = {version = "^1.17.0", source = "cuda12"}
+onnxruntime-gpu = { version = "^1.17.0", source = "cuda12", markers = "platform_machine == 'x86_64'" }
+
+[tool.poetry.group.jetson]
+optional = true
+
+[tool.poetry.group.jetson.dependencies]
+onnxruntime-gpu = { python = "3.11", path = "onnxruntime_gpu-1.18.0-cp311-cp311-manylinux_aarch64.whl", markers = "platform_machine == 'aarch64'" }
 
 [tool.poetry.group.openvino]
 optional = true