diff --git a/docs/api-reference/tensorflow-usage.md b/docs/api-reference/tensorflow-usage.md
index 823da24b53..1a1c8d7928 100644
--- a/docs/api-reference/tensorflow-usage.md
+++ b/docs/api-reference/tensorflow-usage.md
@@ -15,6 +15,8 @@ SciSharp.TensorFlow.Redist v1.14.0
 ### GPU support
 GPU based TensorFlow is currently supported on:
 * Windows
+* Linux
+As of now TensorFlow does not support running on GPUs for MacOS, so we cannot support this currently.
 
 #### Prerequisites
 You must have at least one CUDA compatible GPU, for a list of compatible GPUs see
@@ -26,7 +28,8 @@ following [Nvidia's Install guide](https://docs.nvidia.com/cuda/cuda-quick-start
 #### Usage
 To use TensorFlow with GPU support take a NuGet dependency on the following package depending on your OS:
 
-Windows -> SciSharp.TensorFlow.Redist-Windows-GPU
+* Windows -> SciSharp.TensorFlow.Redist-Windows-GPU
+* Linux -> SciSharp.TensorFlow.Redist-Linux-GPU
 
 No code modification should be necessary to leverage the GPU for TensorFlow operations.
 
diff --git a/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj b/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj
index e7763c8908..d1eeb36645 100644
--- a/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj
+++ b/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj
@@ -39,8 +39,13 @@
 
   <ItemGroup>
     <PackageReference Include="Microsoft.ML.Onnx.TestModels" Version="$(MicrosoftMLOnnxTestModelsVersion)" />
+  </ItemGroup>
+  <ItemGroup Condition=" '$(OS)' == 'Windows_NT'">
     <PackageReference Include="SciSharp.TensorFlow.Redist-Windows-GPU" Version="$(TensorFlowVersion)" />
   </ItemGroup>
+  <ItemGroup Condition=" '$(OS)' == 'Unix'">
+    <PackageReference Include="SciSharp.TensorFlow.Redist-Linux-GPU" Version="$(TensorFlowVersion)" />
+  </ItemGroup>
 
     <ItemGroup>
     <Content Include="$(ObjDir)DnnImageModels\ResNet18Onnx\ResNet18.onnx">