add cuequivariance to the readme

README.md

@@ -20,6 +20,7 @@
     - [Training](#training)
     - [Evaluation](#evaluation)
   - [Tutorials](#tutorials)
+  - [CUDA acceleration with cuEquivariance](#cuda-acceleration-with-cuequivariance)
   - [Weights and Biases for experiment tracking](#weights-and-biases-for-experiment-tracking)
   - [Pretrained Foundation Models](#pretrained-foundation-models)
     - [MACE-MP: Materials Project Force Fields](#mace-mp-materials-project-force-fields)
@@ -171,6 +172,9 @@ We also have a more detailed Colab tutorials on:
  - [Introduction to MACE active learning and fine-tuning](https://colab.research.google.com/drive/1oCSVfMhWrqHTeHbKgUSQN9hTKxLzoNyb)
  - [MACE theory and code (advanced)](https://colab.research.google.com/drive/1AlfjQETV_jZ0JQnV5M3FGwAM2SGCl2aU)
 
+## CUDA acceleration with cuEquivariance
+
+MACE supports CUDA acceleration with the cuEquivariance library. To install the library and use the acceleration, see our documentation at https://mace-docs.readthedocs.io/en/latest/guide/cuda_acceleration.html.
 
 ## On-line data loading for large datasets