diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
index b9577bbb2..2c4c3f971 100644
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@@ -91,6 +91,7 @@ jobs:
             device: openvino
             suffixes: '-openvino'
             platforms: linux/amd64
+            runner-mapping: '{"linux/amd64": "pokedex-large"}'
           - image: immich-machine-learning
             device: armnn
             suffixes: '-armnn'
diff --git a/machine-learning/Dockerfile b/machine-learning/Dockerfile
index 25e367b14..fdb070203 100644
--- a/machine-learning/Dockerfile
+++ b/machine-learning/Dockerfile
@@ -2,7 +2,48 @@ ARG DEVICE=cpu
 
 FROM python:3.13-slim-trixie@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285 AS builder-cpu
 
-FROM builder-cpu AS builder-openvino
+FROM python:3.13-slim-trixie@sha256:7c61056e61ac89e852de05f3dc6fa51a6dd2181797bceed46aa725dd7cb2cd3b AS builder-openvino
+
+# renovate: datasource=github-releases depName=microsoft/onnxruntime
+ARG ONNXRUNTIME_VERSION="v1.30.0"
+ENV VIRTUAL_ENV=/opt/venv \
+    OpenVINO_DIR=/opt/venv/lib/python3.13/site-packages/openvino/cmake \
+    CCACHE_DIR=/ccache
+
+RUN apt-get update && apt-get install -y --no-install-recommends g++ make patch git cmake ccache patchelf
+RUN git clone --depth 1 --branch "${ONNXRUNTIME_VERSION}" https://github.com/microsoft/onnxruntime /code/onnxruntime
+
+COPY --from=ghcr.io/astral-sh/uv:0.8.15@sha256:a5727064a0de127bdb7c9d3c1383f3a9ac307d9f2d8a391edc7896c54289ced0 /uv /uvx /bin/
+RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    uv sync --frozen --extra openvino --group onnxruntime-openvino-build --no-dev --no-editable --no-install-project --no-progress --active --link-mode copy
+
+WORKDIR /code/onnxruntime
+# Note: the `parallel` setting uses a substantial amount of RAM
+RUN --mount=type=cache,target=/ccache \
+    /opt/venv/bin/python tools/ci_build/build.py \
+    --allow_running_as_root \
+    --build_dir build \
+    --config Release \
+    --build_wheel \
+    --update \
+    --build \
+    --parallel 16 \
+    --cmake_extra_defines onnxruntime_BUILD_UNIT_TESTS=OFF \
+    --skip_tests \
+    --use_openvino CPU \
+    --use_cache \
+    --compile_no_warning_as_error
+
+# bundle openvino into the wheel as the published one does, so it is what the EP loads beside it
+WORKDIR /code/onnxruntime/build/Release/dist
+RUN /opt/venv/bin/wheel unpack onnxruntime_openvino-*.whl && \
+    capi=$(echo onnxruntime_openvino-*/onnxruntime/capi) && \
+    cp /opt/venv/lib/python3.13/site-packages/openvino/libs/* "$capi" && \
+    mv "$capi"/libopenvino_c.so.* "$capi/libopenvino_c.so" && \
+    patchelf --set-rpath '$ORIGIN' --force-rpath "$capi/libonnxruntime_providers_openvino.so" && \
+    /opt/venv/bin/wheel pack onnxruntime_openvino-*/ -d /opt
 
 FROM python:3.13-slim-bookworm@sha256:2325bb286ec344af3e5898cc224b5844e2707ac6e26b1632516fd3edc84a5e26 AS builder-cuda
 
@@ -37,7 +78,8 @@ COPY --from=ghcr.io/astral-sh/uv:0.8.15@sha256:a5727064a0de127bdb7c9d3c1383f3a9a
 RUN --mount=type=cache,target=/root/.cache/uv \
     --mount=type=bind,source=uv.lock,target=uv.lock \
     --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
-    uv sync --frozen --extra ${DEVICE} --no-dev --no-editable --no-install-project --compile-bytecode --no-progress --active --link-mode copy
+    uv sync --frozen --extra ${DEVICE} --no-dev --no-editable --no-install-project --compile-bytecode --no-progress --active --link-mode copy && \
+    if [ "$DEVICE" = "openvino" ]; then uv pip install --no-deps /opt/onnxruntime_openvino-*.whl; fi
 
 FROM python:3.13-slim-trixie@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285 AS prod-cpu
 
diff --git a/machine-learning/immich_ml/sessions/ort.py b/machine-learning/immich_ml/sessions/ort.py
index 805d19205..8f96a29c8 100644
--- a/machine-learning/immich_ml/sessions/ort.py
+++ b/machine-learning/immich_ml/sessions/ort.py
@@ -359,7 +359,7 @@ def _overrides(policy: ShapePolicy, pins: Mapping[str, int]) -> list[tuple[str,
 
 @cache
 def _intel_gpu(device: str) -> Device:
-    """The IP version and execution units OpenVINO keys its blobs by, and the driver it checks them against."""
+    """The IP version, release and execution units OpenVINO keys its blobs by, and the driver it checks them against."""
     ov = ctypes.CDLL(str(Path(ort.__file__).parent / "capi" / "libopenvino_c.so"))
     core, wanted = ctypes.c_void_p(), ctypes.c_char_p()
     ov.ov_core_create(ctypes.byref(core))
@@ -367,6 +367,10 @@ def _intel_gpu(device: str) -> Device:
     uuid = wanted.value
     ov.ov_free(wanted)
     ov.ov_core_free(core)
+    release = (ctypes.c_char_p * 2)()  # ov_version_t: build number, description
+    ov.ov_get_openvino_version(release)
+    openvino = (release[0] or b"").decode()
+    ov.ov_version_free(release)
     cl, gpu = ctypes.CDLL("libOpenCL.so.1"), ctypes.c_uint64(1 << 2)  # CL_DEVICE_TYPE_GPU
     platforms, devices, count = (ctypes.c_void_p * 8)(), (ctypes.c_void_p * 8)(), ctypes.c_uint32()
     cl.clGetPlatformIDs(8, platforms, ctypes.byref(count))
@@ -381,7 +385,7 @@ def _intel_gpu(device: str) -> Device:
                 cl.clGetDeviceInfo(ctypes.c_void_p(handle), key, ctypes.sizeof(value), ctypes.byref(value), None)
             if bytes(own).hex().encode() == uuid:
                 version = f"{ip.value >> 22}.{ip.value >> 14 & 0xFF}.{ip.value & 0x3FFF}"
-                return Device(f"{version}-{units.value}eu", driver.value.decode())
+                return Device(f"{version}-{units.value}eu", f"{driver.value.decode()} {openvino}")
     raise LookupError(f"OpenCL has no GPU with the UUID of OpenVINO's {device}")
 
 
diff --git a/machine-learning/pyproject.toml b/machine-learning/pyproject.toml
index 0656445e7..8f64cde52 100644
--- a/machine-learning/pyproject.toml
+++ b/machine-learning/pyproject.toml
@@ -45,6 +45,8 @@ lint = [
     { include-group = "types" },
 ]
 dev = ["locust>=2.15.1", { include-group = "test" }, { include-group = "lint" }]
+# the image replaces onnxruntime-openvino with one built against and bundling this openvino
+onnxruntime-openvino-build = ["openvino>=2026.4.1,<2027", "setuptools", "wheel"]
 
 [project.optional-dependencies]
 cpu = ["onnxruntime>=1.23.2,<2"]
diff --git a/machine-learning/uv.lock b/machine-learning/uv.lock
index 77a91aec1..c0656e4c1 100644
--- a/machine-learning/uv.lock
+++ b/machine-learning/uv.lock
@@ -744,6 +744,11 @@ lint = [
     { name = "types-simplejson" },
     { name = "types-ujson" },
 ]
+onnxruntime-openvino-build = [
+    { name = "openvino" },
+    { name = "setuptools" },
+    { name = "wheel" },
+]
 test = [
     { name = "httpx" },
     { name = "pytest" },
@@ -813,6 +818,11 @@ lint = [
     { name = "types-simplejson", specifier = ">=3.20.0.20250218" },
     { name = "types-ujson", specifier = ">=5.10.0.20240515" },
 ]
+onnxruntime-openvino-build = [
+    { name = "openvino", specifier = ">=2026.4.1,<2027" },
+    { name = "setuptools" },
+    { name = "wheel" },
+]
 test = [
     { name = "httpx", specifier = ">=0.24.1" },
     { name = "pytest", specifier = ">=7.3.1" },
@@ -1434,7 +1444,7 @@ name = "opencv-python"
 version = "4.11.0.86"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "numpy" },
+    { name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/17/06/68c27a523103dad5837dc5b87e71285280c4f098c60e4fe8a8db6486ab09/opencv-python-4.11.0.86.tar.gz", hash = "sha256:03d60ccae62304860d232272e4a4fda93c39d595780cb40b161b310244b736a4", size = 95171956, upload-time = "2025-01-16T13:52:24.737Z" }
 
@@ -1457,6 +1467,42 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ad/8d/db8673846ee53cbb5de4c2b4decc11cf733e203eb7d5146297869f69bd48/opencv_python_headless-4.14.0.94-cp37-abi3-win_amd64.whl", hash = "sha256:cbed65415b8f6a9541c705afe3e64795840524d0ff3bc58f507826284a1dc64b", size = 41028030, upload-time = "2026-07-28T18:32:36.724Z" },
 ]
 
+[[package]]
+name = "openvino"
+version = "2026.4.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "openvino-telemetry" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b3/4e/865889882a3be23beaf9808f93069c05e2eb8c8ff4e9b913568fc0383ce4/openvino-2026.4.1-22982-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:726ac547b8474a5e7b145bc1ae5a8bb6fbcbb60b79bd9a611c67eec2c74b7a5f", size = 33341733, upload-time = "2026-10-01T09:58:47.515Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/3a/2a173ac1ad749ff0b041788eefc1ade0d410231fedfc43f77474f3b806cc/openvino-2026.4.1-22982-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:6b4375c17ddcac83a5180349e2e2bb811185c261066e2a920659892d58ef0e3b", size = 59144434, upload-time = "2026-10-01T09:58:51.34Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/d7/390c0ec5b81b6e089b012aaba6a2dc14f3ac7c52bfd78d10f074e72616ab/openvino-2026.4.1-22982-cp312-cp312-manylinux_2_35_aarch64.whl", hash = "sha256:82efccb2f9f1bdc7e5a1996e05a3b719ebff9232dd54b44150d6d2e983a86b7d", size = 30332437, upload-time = "2026-10-01T09:58:54.385Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/44/66a61b7cfccea1dfa20e95a04b4157f07a0e4dc3f7e894b22a92abb8822b/openvino-2026.4.1-22982-cp312-cp312-win_amd64.whl", hash = "sha256:4e04316abff1b99e29b8cbd38deaef9bde4739eba216d982d4b3981e456ecd87", size = 84964415, upload-time = "2026-10-01T09:58:59.18Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/75/66fc1f74a4c9cdc7bf2d4773dd7e199589ec87884d10b9e58b4eca1e3a50/openvino-2026.4.1-22982-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:60496e3153122913c8a2fa69d86b3a77ccc4e2469db87d76eb8acb49a5d22d63", size = 33341974, upload-time = "2026-10-01T09:59:03.149Z" },
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+]
+
+[[package]]
+name = "openvino-telemetry"
+version = "2025.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/71/8a/89d82f1a9d913fb266c2e6dc2f6030935db24b7152963a8db6c4f039787f/openvino_telemetry-2025.2.0.tar.gz", hash = "sha256:8bf8127218e51e99547bf38b8fb85a8b31c9bf96e6f3a82eb0b3b6a34155977c", size = 18894, upload-time = "2025-07-07T10:29:51.159Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3b/ac/5ab0ca0aa269ad3c73f7bfc3801b10e5f56f75a31bf68c1ae8bd51cf70a4/openvino_telemetry-2025.2.0-py3-none-any.whl", hash = "sha256:bcb667e83a44f202ecf4cfa49281715c6d7e21499daec04ff853b7f964833599", size = 25227, upload-time = "2025-07-07T10:29:50.189Z" },
+]
+
 [[package]]
 name = "orjson"
 version = "3.12.0"
@@ -2451,6 +2497,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9d/6e/e792999e816d19d7fcbfa94c730936750036d65656a76a5a688b57a656c4/werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8", size = 227274, upload-time = "2024-05-05T23:10:29.567Z" },
 ]
 
+[[package]]
+name = "wheel"
+version = "0.45.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8a/98/2d9906746cdc6a6ef809ae6338005b3f21bb568bea3165cfc6a243fdc25c/wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729", size = 107545, upload-time = "2024-11-23T00:18:23.513Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0b/2c/87f3254fd8ffd29e4c02732eee68a83a1d3c346ae39bc6822dcbcb697f2b/wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248", size = 72494, upload-time = "2024-11-23T00:18:21.207Z" },
+]
+
 [[package]]
 name = "wsproto"
 version = "1.2.0"