diff --git a/docs/source-pytorch/benchmarking/benchmarks.rst b/docs/source-pytorch/benchmarking/benchmarks.rst
index af9715fbf4..3ceb187c22 100644
--- a/docs/source-pytorch/benchmarking/benchmarks.rst
+++ b/docs/source-pytorch/benchmarking/benchmarks.rst
@@ -1,7 +1,7 @@
 :orphan:
 
-Benchmark with vanilla PyTorch
-==============================
+Benchmark performance vs. vanilla PyTorch
+=========================================
 
 In this section we set grounds for comparison between vanilla PyTorch and PT Lightning for most common scenarios.
 
@@ -17,3 +17,29 @@ In average for simple MNIST CNN classifier we are only about 0.06s slower per ep
 
 
 Learn more about reproducible benchmarking from the `PyTorch Reproducibility Guide <https://pytorch.org/docs/stable/notes/randomness.html>`__.
+
+
+----
+
+Find performance bottlenecks
+=============================
+
+.. raw:: html
+
+    <div class="display-card-container">
+        <div class="row">
+
+.. Add callout items below this line
+
+.. displayitem::
+   :header: Find bottlenecks in your models
+   :description: Benchmark your own Lightning models
+   :button_link: ../tuning/profiler.html
+   :col_css: col-md-3
+   :height: 180
+   :tag: basic
+
+.. raw:: html
+
+        </div>
+    </div>