diff --git a/Dockerfile.jetson b/Dockerfile.jetson
index 1c95590..bd4fe57 100644
--- a/Dockerfile.jetson
+++ b/Dockerfile.jetson
@@ -1,4 +1,4 @@
-FROM nvcr.io/nvidia/l4t-jetpack:r36.2.0
+FROM nvcr.io/nvidia/l4t-jetpack:r36.4.0
 ARG CI_COMMIT_SHA=unknown
 ENV AZAION_REVISION=$CI_COMMIT_SHA
 
@@ -6,6 +6,7 @@ RUN apt-get update && apt-get install -y \
     python3 python3-pip python3-dev gcc \
     libgl1 libglib2.0-0 \
     python3-libnvinfer python3-libnvinfer-dev \
+    python3-pycuda \
     && rm -rf /var/lib/apt/lists/*
 
 
diff --git a/_docs/02_tasks/done/AZ-180_jetson_orin_nano_support.md b/_docs/02_tasks/done/AZ-180_jetson_orin_nano_support.md
index d330e93..cf45f55 100644
--- a/_docs/02_tasks/done/AZ-180_jetson_orin_nano_support.md
+++ b/_docs/02_tasks/done/AZ-180_jetson_orin_nano_support.md
@@ -2,7 +2,7 @@
 
 **Task**: AZ-180_jetson_orin_nano_support
 **Name**: Jetson Orin Nano Support
-**Description**: Run the detection service on NVIDIA Jetson Orin Nano with a JetPack 6.x container image, INT8 engine conversion using a pre-generated calibration cache, and docker-compose configuration.
+**Description**: Run the detection service on NVIDIA Jetson Orin Nano with a JetPack 6.2.x-compatible container image, INT8 engine conversion using a pre-generated calibration cache, and docker-compose configuration.
 **Complexity**: 5 points
 **Dependencies**: None
 **Component**: Deployment + Inference Engine
@@ -75,7 +75,7 @@ Then the detections service is reachable on port 8080
 ## Non-Functional Requirements
 
 **Compatibility**
-- JetPack 6.x (CUDA 12.2, TensorRT 10.x)
+- JetPack 6.2.x-compatible container (`nvcr.io/nvidia/l4t-jetpack:r36.4.0`, CUDA 12.6 / TensorRT 10.3 compute stack)
 - Jetson Orin Nano (aarch64, SM 8.7)
 
 **Reliability**
diff --git a/_docs/04_deploy/containerization.md b/_docs/04_deploy/containerization.md
index f446184..8373f5d 100644
--- a/_docs/04_deploy/containerization.md
+++ b/_docs/04_deploy/containerization.md
@@ -119,7 +119,7 @@ Already exists: `e2e/docker-compose.test.yml`. No changes needed — supports bo
 
 | Aspect | Specification |
 |--------|--------------|
-| Base image | `nvcr.io/nvidia/l4t-base:r36.3.0` (JetPack 6.x, aarch64) |
+| Base image | `nvcr.io/nvidia/l4t-jetpack:r36.4.0` (JetPack 6.2.x-compatible, aarch64) |
 | TensorRT | Pre-installed via JetPack — `python3-libnvinfer` apt package (NOT pip) |
 | PyCUDA | Pre-installed via JetPack — `python3-pycuda` apt package (NOT pip) |
 | Build stages | Single stage (Cython compile requires gcc) |
@@ -129,7 +129,7 @@ Already exists: `e2e/docker-compose.test.yml`. No changes needed — supports bo
 | Runtime | Requires NVIDIA Container Runtime (`runtime: nvidia` in docker-compose) |
 
 **Jetson-specific behaviour**:
-- `requirements-jetson.txt` derives from `requirements.txt` — `tensorrt` and `pycuda` are excluded from pip and provided by JetPack
+- `requirements-jetson.txt` derives from `requirements.txt` — `tensorrt` and `pycuda` are excluded from pip; TensorRT and PyCUDA are installed from the JetPack/L4T apt packages in `Dockerfile.jetson`
 - Engine filename auto-encodes CC+SM (e.g. `azaion.cc_8.7_sm_16.engine` for Orin Nano), ensuring the Jetson engine is distinct from any x86-cached engine
 - INT8 is used when `azaion.int8_calib.cache` is available on the Loader service; precision suffix appended to engine filename (`*.int8.engine`); FP16 fallback when cache is absent
 - `docker-compose.jetson.yml` uses `runtime: nvidia` for the NVIDIA Container Runtime
diff --git a/requirements-jetson.txt b/requirements-jetson.txt
index 79fb685..fac7843 100644
--- a/requirements-jetson.txt
+++ b/requirements-jetson.txt
@@ -12,4 +12,3 @@ requests==2.32.4
 loguru==0.7.3
 av==14.2.0
 xxhash==3.5.0
-pycuda