Category Archives: Data Science

Data science workflows have traditionally been slow and cumbersome, relying on CPUs to load, filter and manipulate data and train and deploy models. NVIDIA accelerated data science solutions are built on NVIDIA CUDA-X AI and feature RAPIDS for data processing and machine learning and a variety of other data science software to maximize productivity, performance and ROI with the power of NVIDIA GPUs.

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RAPIDS: The Rise of Notebooks Extended

As we journey to RAPIDS 1.0, we launched an entire new documentation update (https://docs.rapids.ai/) with our 0.6 release. With our 0.7 release, we are making available a new Notebooks Extended repo on GitHub. … Read more
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Similarity in graphs: Jaccard versus the Overlap Coefficient

There are a wide range of graph applications and algorithms that I hope to discuss through this series of blog posts, all with a bias toward what is in RAPIDS cuGraph. I am assuming that the reader has a basic understanding of graph theory and graph analytics. If there is interest in a graph analytic […] … Read more