Add note for Intel MKL.

README.md

@@ -83,17 +83,20 @@ The library allows users to automatically optimize their models for model servin
 Moreover, VS Tools for AI generates a C# stub class to simplify interaction with models in your app.
 These Model Inference Library projects can be further deployed as NuGet packages for convenient distribution
 
-VS Tools for AI supports building apps using Tensorflow and ONNX models. Currently, the following versions are supported:
+Visual Studio Tools for AI supports building apps using Tensorflow and ONNX models. Currently, the following versions are supported:
 -   ONNX
     -   Version: 1.0.1
-    -   CPU (MKL enabled) only
+    -   CPU (Intel MKL enabled) only
 -   TensorFlow
     -   Version: 1.5.0
-    -   CPU (MKL enabled) only
+    -   CPU (Intel MKL enabled) only
     -   Model formats: checkpoint and saved model only. Frozen model is not supported.
         -   For TensorFlow Checkpoint - all files including a checkpoint file, a meta file, and data files should be stored under the same folder. If your model contains TensorFlow lookup operations, please copy your vocabulary file to this folder as well.
         -   For TensorFlow SavedModel - all files including a pb file, data files and asset files should be stored under the same folder. Please do not import SavedModel files that were previously optimized by the library -this can result in unexpected errors.
 
+> [!NOTE]
+>
+> [Intel MKL](https://software.intel.com/en-us/mkl) is licensed under the [Intel Simplified Software License](https://software.intel.com/en-us/license/intel-simplified-software-license).
 
 # Support
 Support for this extension is provided on our [GitHub Issue Tracker](http://github.com/Microsoft/vs-tools-for-ai/issues). You can submit a bug report, a feature suggestion or participate in discussions.

docs/model-inference.md

@@ -7,14 +7,19 @@ The library allows users to automatically optimize their models for model servin
 VS Tools for AI supports building apps using Tensorflow and ONNX models. Currently, the following versions are supported:
 -   ONNX
     -   Version: 1.0.1
-    -   CPU (MKL enabled) only
+    -   CPU (Intel MKL enabled) only
 -   TensorFlow
     -   Version: 1.5.0
-    -   CPU (MKL enabled) only
+    -   CPU (Intel MKL enabled) only
     -   Model formats: checkpoint and saved model only. Frozen model is not supported.
         -   For TensorFlow Checkpoint - all files including a checkpoint file, a meta file, and data files should be stored under the same folder. If your model contains TensorFlow lookup operations, please copy your vocabulary file to this folder as well.
         -   For TensorFlow SavedModel - all files including a pb file, data files and asset files should be stored under the same folder. Please do not import SavedModel files that were previously optimized by the library -this can result in unexpected errors.
 
+> [!NOTE]
+>
+> [Intel MKL](https://software.intel.com/en-us/mkl) is licensed under the [Intel Simplified Software License](https://software.intel.com/en-us/license/intel-simplified-software-license).
+
+
 ## How to Create a Model Inference Library Project
 
 In order to enable easy integration of pre-trained models into .NET applications, Visual Studio Tools for AI allows users to create a C# wrapper over the raw model files. This offers simplified consistent APIs for user-friendly project reference.