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 dc5e831aee90ad1c67734e1e906661afb793c2d9..896a02ae47eda42db4ac1c92d59e4e3b31d8380f 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
@@ -1,10 +1,11 @@
 # Intel IPP
 
-## Intel Integrated Performance Primitives
+## Introduction
 
-Intel Integrated Performance Primitives version 9.0.1 compiled for AVX2 vector instructions is available via the `ipp`  module. IPP 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.
+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:
 
 ```console
 $ ml ipp