Use GPUs to speed up your data science by up to 2000x
Dask integrates with RAPIDS cuDF, XGBoost, and RAPIDS cuML for GPU-accelerated data analytics and machine learning.
Speed up Python with minimal code changes.
Get support for multi-node, multi-GPU deployments.
Out-of-the-box support and easy setup
Increase machine learning model accuracy by iterating on models faster
Improve your productivity with the fastest data science capabilities on market
Customizable, extensible, interoperable – the open-source software is supported by NVIDIA and built on Apache Arrow.
We trained a random forest model using 300 million instances: Spark took 37 minutes on a 20-node CPU cluster, whereas RAPIDS took 1 second on a 20-node GPU cluster. That’s over 2000x faster with GPUs.
