RAPIDS features a highly GPU-optimized core dataframe and machine learning kernels that are perfect for adopters who are building high-performance databases, stream processing, machine learning applications, and more. RAPIDS handles the low-level GPU-accelerated NVIDIA® CUDA® code, so you can focus on integrating it with your solution. RAPIDS Python binding can be integrated into the solution as well. Adopters should announce their plans on our public channels. If approved, we’ll add a link to the project on the RAPIDS website.
Contributors include anyone who helps improve the project—whether by reporting issues, adding documentation and examples, or contributing code. RAPIDS is built on open-source projects, fork our repositories from GitHub, start hacking, and open a pull request. Join us on Google Groups and let us know what you're working on.