diff --git a/docs/docs/frigate/installation.md b/docs/docs/frigate/installation.md
index 17d5abc3e5..abe3d6b9d5 100644
--- a/docs/docs/frigate/installation.md
+++ b/docs/docs/frigate/installation.md
@@ -574,16 +574,26 @@ The operator build is architecture-specific. Build and validate the image on the
 
 :::
 
-Then pass the Metis device into the container. Add the following lines to your `docker-compose.yml`:
+Then pass the Metis device and the GPU/dma-buf nodes into the container. Add the following lines to your `docker-compose.yml`:
 
 ```yaml
 devices:
   - /dev/metis-0-1-0
+  - /dev/dma_heap/system:/dev/dma_heap/system
+  - /dev/dri/renderD128:/dev/dri/renderD128 # Intel/AMD GPU render node (OpenCL)
 ```
 
+The SDK needs the dma-buf exporter for its shared-memory pool (`No dmabuf driver found` at startup means it is missing). The GPU render node is required for the SDK to detect OpenCL and use the GPU hardware path (`hardware_caps.opencl`); without it the SDK falls back to software decoding. Which nodes exist depends on the host (Intel iGPU render nodes are numbered, e.g. `renderD128`; AMD uses `renderD129`).
+
 Metis device node names depend on the driver version (for example `/dev/metis-0-1-0` or `/dev/metis-0:1:0`); list the nodes under `/dev/metis*` after installing the driver and pass the one that appears for your card.
 
-If you are using `docker run`, add this option to your command: `--device /dev/metis-0-1-0`
+If you are using `docker run`, add these options to your command:
+
+```bash
+--device /dev/metis-0-1-0 \
+--device /dev/dma_heap/system:/dev/dma_heap/system \
+--device /dev/dri/renderD128:/dev/dri/renderD128
+```
 
 #### Configuration
 
diff --git a/frigate/stats/util.py b/frigate/stats/util.py
index 6e20197391..278d800603 100644
--- a/frigate/stats/util.py
+++ b/frigate/stats/util.py
@@ -21,6 +21,7 @@ from frigate.util.services import (
     calculate_shm_requirements,
     get_amd_gpu_stats,
     get_axcl_npu_stats,
+    get_axelera_board_temp,
     get_bandwidth_stats,
     get_cpu_stats,
     get_fs_type,
@@ -132,6 +133,10 @@ def get_detector_temperature(
         # Rockchip temperatures are handled by the GPU / NPU stats
         # as there are not detector specific temperatures
         pass
+    elif detector_type == "axelera":
+        # Axelera Metis temperature is read from the board controller
+        # through the SDK's axcmd tool
+        return get_axelera_board_temp()
 
     return None
 
diff --git a/frigate/util/services.py b/frigate/util/services.py
index 38737907ef..8542eb6f91 100644
--- a/frigate/util/services.py
+++ b/frigate/util/services.py
@@ -800,6 +800,50 @@ def get_axcl_npu_stats() -> dict[str, str | float] | None:
     return None
 
 
+def get_axelera_board_temp() -> float | None:
+    """Get the Axelera Metis board temperature through the SDK's axcmd tool.
+
+    The read goes through the board controller and does not open an inference
+    stream, so it is safe to call while a detector is running.
+    """
+    axcmd_path = None
+
+    for candidate in (
+        shutil.which("axcmd"),
+        "/usr/local/bin/axcmd",
+        "/opt/axelera/runtime-1.8.0-1/bin/axcmd",
+    ):
+        if candidate and os.path.exists(candidate):
+            axcmd_path = candidate
+            break
+
+    if axcmd_path is None:
+        return None
+
+    try:
+        result = sp.run(
+            [axcmd_path, "--board-temp"],
+            capture_output=True,
+            text=True,
+            timeout=5,
+        )
+    except (OSError, sp.TimeoutExpired):
+        return None
+
+    if result.returncode != 0:
+        return None
+
+    match = re.search(r"=\s*([\d.]+)", result.stdout)
+
+    if match is None:
+        return None
+
+    try:
+        return round(float(match.group(1)), 1)
+    except ValueError:
+        return None
+
+
 def try_get_info(f, h, default="N/A", sensor=None):
     try:
         if h: