diff --git a/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md b/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
index c704d6a8..3e1f3597 100644
--- a/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
+++ b/Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
@@ -33,32 +33,5 @@ cudaDeviceGetAttribute, cudaNvSciBufMultiplanar, cudaDestroyExternalMemory, cuDr
 Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
 Make sure the dependencies mentioned in [Dependencies]() section above are installed.
 
-## Build and Run
-
-### Linux
-The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
-```
-$ cd <sample_dir>
-$ make
-```
-The samples makefiles can take advantage of certain options:
-*  **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are aarch64.
-    By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
-`$ make TARGET_ARCH=aarch64` <br/>
-    See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
-*   **dbg=1** - build with debug symbols
-    ```
-    $ make dbg=1
-    ```
-*   **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
-    ```
-    $ make SMS="50 60"
-    ```
-
-*  **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
-```
-    $ make HOST_COMPILER=g++
-```
-
 ## References (for more details)