diff --git a/examples/tutorial/fp8/mnist/README.md b/examples/tutorial/fp8/mnist/README.md
index 308549cd2..46711f9eb 100644
--- a/examples/tutorial/fp8/mnist/README.md
+++ b/examples/tutorial/fp8/mnist/README.md
@@ -1,7 +1,13 @@
-# Basic MNIST Example with optional FP8
+# Basic MNIST Example with optional FP8 of TransformerEngine
+
+[TransformerEngine](https://github.com/NVIDIA/TransformerEngine) is a library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.
+
+Thanks for the contribution to this tutorial from NVIDIA. 
 
 ```bash
 python main.py
 python main.py --use-te   # Linear layers from TransformerEngine
 python main.py --use-fp8  # FP8 + TransformerEngine for Linear layers
 ```
+
+> We are working to integrate it with Colossal-AI and will finish it soon.