RAPIDS is an open-source GPU-accelerated data science and machine learning library.

Rapids provide high-performance tools for data preprocessing, analytics, and modeling in data science.

Rapids is built on top of NVIDIA CUDA and Apache Arrow.

Rapids can be easily integrated with other popular Python libraries.

It provides a prototyping feature using which data scientists can use to perform experiments with different models, algorithms, and configurations.

Using rapids we can easily trained a complex model using GPU.

Rapids can be used to deploy models in production on top of docker or Kubernetes.

In conclusion, rapid is a great option if you wish to accelerate your machine learning workflow.