Update README.md

Co-authored-by: nv-kkudrynski <[email protected]>

Author: alvarognvidia

README.md

@@ -95,9 +95,6 @@ Automatic Mixed Precision (AMP) enables mixed precision training on Volta, Turin
 **TensorFloat-32 (TF32)**  
 TensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs for handling the matrix math also called tensor operations. TF32 running on Tensor Cores in A100 GPUs can provide up to 10x speedups compared to single-precision floating-point math (FP32) on Volta GPUs. TF32 is supported in the NVIDIA Ampere GPU architecture and is enabled by default.
 
-**TensorFloat-32 (TF32)**  
-TensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs for handling the matrix math also called tensor operations. TF32 running on Tensor Cores in A100 GPUs can provide up to 10x speedups compared to single-precision floating-point math (FP32) on Volta GPUs.
-
 **Jupyter Notebooks (NB)**  
 The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.