We have truly built something great here. From composing machine learning algorithms with a ready-to-go toolbox of building blocks to drop-accelerators for existing libraries. We are just getting started!
The idea of RAFT - a box of mathematical building blocks, fully optimized for GPU, has been core to the RAPIDS vision from the start. RAFT is much, much more than an today idea. @cjnolet and team have provided the world with something amazing. developer.nvidia.com/blog/reusable-…
The #raft library by @RAPIDSai contains a rich catalog of highly reusable computational patterns for composing #MachineLearning and #DataAnalytics applications.
RAFT also contains state-of-the-art implementations of new approximate nearest neighbors algorithms on the GPU!
Spend more time designing your app & less time worrying about bottlenecks.
Read a quick primer on RAPIDS RAFT's library of building blocks for #ML & #DataAnalysis: nvda.ws/3FKxqNU
Another great example of how RAPIDS is making data science more productive and enabling methods that were once intractable. #neighborhoodmethods#weallneedbalance
