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.
RAPIDS makes it possible to perform interactive data analysis on large datasets using Python APIs that closely resemble NumPy, Pandas, and scikit-learn. … Read more
Attend live events in the time zone that works best for you, or browse an extensive catalog of on-demand content showcasing innovative uses of GPU technology. Here’s a preview of some of the data science sessions we’re working on for GTC. … Read more
The COVID-19 pandemic brings the efforts of the data science community to the forefront. Real-time, interactive visualizations of the novel coronavirus’ spread across populations help researchers, scientists, health officials and governments understand, validate, and communicate important insights hidden among hundreds of millions of rows of records. … Read more
We’ve added major features and enhancements requested by our developer community for the production release of our Vision AI software suite: Transfer Learning Toolkit 2.0 and DeepStream SDK 5.0. Here is an overview of key features available. … Read more
In this post, we introduce HugeCTR, a GPU-accelerated training framework for CTR estimation. It is open-sourced and highly optimized for performance on NVIDIA GPUs while allowing users to customize their models in JSON format. … Read more
The University of Florida recently announced a $70 million public-private partnership with NVIDIA that will provide students, faculty, and researchers access to the most powerful AI training and tools. … Read more
In this post, the team shows how the new RAPIDS Accelerator for Apache Spark enables GPU acceleration of end-to-end data analytic pipelines, Spark SQL operations, and Spark shuffle operations. … Read more
Recommender systems help people find what they’re looking for among an exponentially growing number of options. They are a critical component for driving user engagement on many online platforms. … Read more