diff --git a/README.md b/README.md
index ddb91f9e05d..5b5bbd7a815 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,8 @@ TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to
 run machine learning models on DSPs, microcontrollers and other devices with
 limited memory.
 
+> **NOTE**: Looking for how to run on Nuclei RISC-V Processor, please check [this guidance](tensorflow/lite/micro/nuclei_demosoc/README.md)
+
 Additional Links:
  * [Tensorflow github repository](https://github.com/tensorflow/tensorflow/)
  * [TFLM at tensorflow.org](https://www.tensorflow.org/lite/microcontrollers)
diff --git a/tensorflow/lite/micro/nuclei_demosoc/README.md b/tensorflow/lite/micro/nuclei_demosoc/README.md
index 0dbed21b5de..53a968498e3 100644
--- a/tensorflow/lite/micro/nuclei_demosoc/README.md
+++ b/tensorflow/lite/micro/nuclei_demosoc/README.md
@@ -4,7 +4,11 @@ This folder contains TFLite kernel operations optimized for Nuclei RISC-V Proces
 
 It is designed to be portable even to 'bare metal', so it follows the same design goals as the micro experimental port.
 
-## How to quick explore it
+# How to quick explore it
+
+This TFLM support is done based on Nuclei SDK 0.3.8 release, see https://github.com/Nuclei-Software/nuclei-sdk/releases/tag/0.3.8
+
+It mainly works on Nuclei Demo SoC, an fpga prototype SoC to test different kinds of Nuclei RISC-V Processor.
 
 ## Install third party requirements