diff --git a/CHANGELOG.md b/CHANGELOG.md
index 12e424fd..89d75dc0 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,7 @@
 
 ### CUDA 12.9
 * Updated toolchain for cross-compilation for Tegra Linux platforms.
+* Added `run_tests.py` utility to exercise all samples. See README.md for details
 * Repository has been updated with consistent code formatting across all samples
 * Many small code tweaks and bug fixes (see commit history for details)
 * Removed the following outdated samples:
diff --git a/README.md b/README.md
index 5def32b7..c6536152 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ This section describes the release notes for the CUDA Samples on GitHub only.
 
 ### Prerequisites
 
-Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
+Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
 For system requirements and installation instructions of cuda toolkit, please refer to the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/), and the [Windows Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
 
 ### Getting the CUDA Samples
@@ -122,7 +122,7 @@ Instead of being in the default location, `/usr/local/cuda/include` or `/usr/loc
 
 `/usr/local/cuda/<ARCH>/targets/aarch64-linux/lib`
 and
-`/usr/local/cuda-12.8/<ARCH>/include`
+`/usr/local/cuda/<ARCH>/include`
 
 An example build might look like this:
 
diff --git a/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md b/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
index 02055f45..cadf4d4e 100644
--- a/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
+++ b/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
@@ -30,7 +30,7 @@ cudaDeviceGetAttribute, cudaNvSciBufMultiplanar, cudaDestroyExternalMemory, cuDr
 
 ## Prerequisites
 
-Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
+Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
 Make sure the dependencies mentioned in [Dependencies]() section above are installed.
 
 ## References (for more details)