diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -86,7 +86,7 @@ If you are comfortable with your skills, you can run the other 4 versions. You c
 
 `main_onnx_gpu.py` will give you up to a 100% performance boost. You will need to pip install `onnxruntime` specific for your GPU and toolkit version. An AMD GPU compatible version of `onnxruntime` is available for linux users only right now.
 
-`main_tensorrt_gpu.py` is the BEST. It gives over a 200% performance boost. In our testing, the screenshot engine was the bottleneck. Tensorrt is only available via download from NVIDIA's site. You will need to make an account. Just go to this link and get `TensorRT 8.4 GA`. https://developer.nvidia.com/tensorrt You will need to install it via the .whl file they give you.
+`main_tensorrt_gpu.py` is the BEST. It gives over a 200% performance boost. In our testing, the screenshot engine was the bottleneck. Tensorrt is only available via download from NVIDIA's site. You will need to make an account. Just go to this link and get `TensorRT 8.4 GA`. https://developer.nvidia.com/tensorrt You will need to install it via the .whl file they give you. You may also need https://developer.nvidia.com/cudnn.
 
 ### REQUIREMENTS
 - Nvidia RTX 2050 or higher