diff --git a/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md b/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md
index 896a02ae47eda42db4ac1c92d59e4e3b31d8380f..572d933606a347b5cb35d0fdd0c411127df0caae 100644
--- a/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md
+++ b/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md
@@ -4,14 +4,18 @@
 
 Intel Integrated Performance Primitives is a very rich library of highly optimized algorithmic building blocks for media and data applications. This includes signal, image, and frame processing algorithms, such as FFT, FIR, Convolution, Optical Flow, Hough transform, Sum, MinMax, as well as cryptographic functions, linear algebra functions, and many more.
 
-Check out IPP before implementing own math functions for data processing, as it is likely already there.
-IPP version 9.0.1 compiled for AVX2 vector instructions is available via the `ipp` module:
+## Installed Versions
+
+For the current list of installed versions, use:
 
 ```console
-$ ml ipp
+$ ml av ipp
 ```
 
-The module sets up environment variables, required for linking and running IPP-enabled applications.
+!!! Important
+    Check out IPP before implementing own math functions for data processing, as it is likely already there.
+    IPP version 9.0.1 compiled for AVX2 vector instructions is available via the `ipp` module:
+    The module sets up environment variables, required for linking and running IPP-enabled applications.
 
 ## IPP Example