diff --git a/applications/body_pose_estimation/README.md b/applications/body_pose_estimation/README.md
index 4c52c0fe0..ca74cf463 100644
--- a/applications/body_pose_estimation/README.md
+++ b/applications/body_pose_estimation/README.md
@@ -121,3 +121,15 @@ To mount RTI Connext into the container, ensure that the `NDDSHOME` and
```sh
./dev_container launch --img holohub:bpe --docker_opts "-v $NDDSHOME:/opt/dds -e NDDSHOME=/opt/dds -e CONNEXTDDS_ARCH=$CONNEXTDDS_ARCH"
```
+
+### Known Issues
+
+There is a known issue running this application on IGX w/ iGPU and on Jetson AGX (see [#500](https://github.com/nvidia-holoscan/holohub/issues/500)).
+The workaround is to update the device to avoid picking up the libnvv4l2.so library.
+
+```bash
+cd /usr/lib/aarch64-linux-gnu/
+ls -l libv4l2.so.0.0.999999
+sudo rm libv4l2.so.0.0.999999
+sudo ln -s libv4l2.so.0.0.0.0 libv4l2.so.0.0.999999
+```
diff --git a/applications/florence-2-vision/README.md b/applications/florence-2-vision/README.md
index f0fd932b3..9065ee21f 100644
--- a/applications/florence-2-vision/README.md
+++ b/applications/florence-2-vision/README.md
@@ -50,7 +50,16 @@ Note: The first build will take **~1.5 hours** if you're on ARM64. This is large
## 💻 Supported Hardware
- IGX w/ dGPU
- x86 w/ dGPU
-> Note: iGPU is not yet supported. This app can be built on iGPU devices and the florence2_app.py will run, however, the full QT UI app is not yet supported for iGPU.
+- IGX w/ iGPU and Jetson AGX supported with workaround
+ There is a known issue running this application on IGX w/ iGPU and on Jetson AGX (see [#500](https://github.com/nvidia-holoscan/holohub/issues/500)).
+ The workaround is to update the device to avoid picking up the libnvv4l2.so library.
+
+ ```bash
+ cd /usr/lib/aarch64-linux-gnu/
+ ls -l libv4l2.so.0.0.999999
+ sudo rm libv4l2.so.0.0.999999
+ sudo ln -s libv4l2.so.0.0.0.0 libv4l2.so.0.0.999999
+ ```
## Dev Container
diff --git a/applications/tao_peoplenet/README.md b/applications/tao_peoplenet/README.md
index 905c3532d..d55055a1e 100644
--- a/applications/tao_peoplenet/README.md
+++ b/applications/tao_peoplenet/README.md
@@ -46,3 +46,15 @@ To launch the application using the Video Stream Replayer as the input source, r
```sh
./dev_container build_and_run tao_peopelnet --run_args "--source replayer"
```
+
+### Known Issues
+
+There is a known issue running this application on IGX w/ iGPU and on Jetson AGX (see [#500](https://github.com/nvidia-holoscan/holohub/issues/500)).
+The workaround is to update the device to avoid picking up the libnvv4l2.so library.
+
+```bash
+cd /usr/lib/aarch64-linux-gnu/
+ls -l libv4l2.so.0.0.999999
+sudo rm libv4l2.so.0.0.999999
+sudo ln -s libv4l2.so.0.0.0.0 libv4l2.so.0.0.999999
+```
diff --git a/applications/video_deidentification/README.md b/applications/video_deidentification/README.md
index 9222b5e41..e50ab22da 100644
--- a/applications/video_deidentification/README.md
+++ b/applications/video_deidentification/README.md
@@ -53,3 +53,15 @@ To launch the application using the Video Stream Replayer as the input source, r
```sh
./dev_container build_and_run video_deidentification --run_args "--source replayer"
```
+
+### Known Issues
+
+There is a known issue running this application on IGX w/ iGPU and on Jetson AGX (see [#500](https://github.com/nvidia-holoscan/holohub/issues/500)).
+The workaround is to update the device to avoid picking up the libnvv4l2.so library.
+
+```bash
+cd /usr/lib/aarch64-linux-gnu/
+ls -l libv4l2.so.0.0.999999
+sudo rm libv4l2.so.0.0.999999
+sudo ln -s libv4l2.so.0.0.0.0 libv4l2.so.0.0.999999
+```
diff --git a/applications/vila_live/README.md b/applications/vila_live/README.md
index bda328215..020c10dd8 100644
--- a/applications/vila_live/README.md
+++ b/applications/vila_live/README.md
@@ -49,10 +49,19 @@ Once the main LMM-based app is running, you will see a link for the app at `http
## 💻 Supported Hardware
- IGX w/ dGPU
-- IGX w/ iGPU
- x86 w/ dGPU
+- IGX w/ iGPU and Jetson AGX supported with workaround
+ There is a known issue running this application on IGX w/ iGPU and on Jetson AGX (see [#500](https://github.com/nvidia-holoscan/holohub/issues/500)).
+ The workaround is to update the device to avoid picking up the libnvv4l2.so library.
+
+ ```bash
+ cd /usr/lib/aarch64-linux-gnu/
+ ls -l libv4l2.so.0.0.999999
+ sudo rm libv4l2.so.0.0.999999
+ sudo ln -s libv4l2.so.0.0.0.0 libv4l2.so.0.0.999999
+ ```
## 🙌 Acknowledgements
- Jetson AI Lab, [Live LLaVA](https://www.jetson-ai-lab.com/tutorial_live-llava.html): for the inspiration to create this app
- [Jetson-Containers](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/llamaspeak) repo: For the Flask web-app with WebSockets
-- [LLM-AWQ](https://github.com/mit-han-lab/llm-awq) repo: For the example code to create AWQ-powered LLM servers
\ No newline at end of file
+- [LLM-AWQ](https://github.com/mit-han-lab/llm-awq) repo: For the example code to create AWQ-powered LLM servers