diff --git a/kmath-noa/README.md b/kmath-noa/README.md
index f1c193f9b..b69d0ce93 100644
--- a/kmath-noa/README.md
+++ b/kmath-noa/README.md
@@ -12,14 +12,33 @@ differentiable program written on top of
 
 ## Installation
 
+Currently, we support only
+the [GNU](https://gcc.gnu.org/) toolchain for the native artifacts.
+For `GPU` kernels, we require a compatible
+[CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
+installation. If you are on Windows, we recommend setting up
+everything on [WSL](https://docs.nvidia.com/cuda/wsl-user-guide/index.html).
+
 To install the library, you can simply publish to the local
 Maven repository:
 ```
 ./gradlew -q :kmath-noa:publishToMavenLocal
 ```
-This will fetch and build native artifacts as well.
-Currently, we support only
-the [GNU](https://gcc.gnu.org/) toolchain. For `GPU` kernels, we require a compatible
-[CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
-installation. If you are on Windows, we recommend setting up
-everything on [WSL](https://docs.nvidia.com/cuda/wsl-user-guide/index.html).
+This will fetch and build the `JNI` wrapper `jnoa`. 
+
+In your own application add the local dependency:
+```kotlin
+repositories {
+    mavenCentral()
+    mavenLocal()
+}
+
+dependencies {
+    implementation("space.kscience:kmath-noa:0.3.0-dev-14")
+}
+```
+To load the native library you will need to add to the VM options:
+```
+-Djava.library.path=${HOME}/.konan/third-party/noa-v0.0.1/cpp-build/kmath
+```
+