Tag: RAPIDS
Nvidia Bolsters RAPIDS Graph Analytics with NetworkX Expansion
Nvidia has expanded its support of NetworkX graph analytic algorithms in RAPIDS, its open source library for accelerated computing. The expansion means data scientists can run 40-plus NetworkX algorithms on Nvidia GPUs w Read more…
Pandas on GPU Runs 150x Faster, Nvidia Says
Data scientists and others who work in pandas may be interested to hear about a new release of Nvidia’s RAPIDS cuDF framework that it says results in a 150x performance boost for pandas running atop a GPU. Pandas is Read more…
Inside Pandata, the New Open-Source Analytics Stack Backed by Anaconda
Anaconda made some news yesterday when it announced support for Pandata, a new open-source stack. But just what is Pandata, and should it be on your big data radar? According to the Pandata GitHub page, Pandata is a c Read more…
Cloudera, Nvidia Team to Speed Cloud AI via Spark
Cloud access to GPUs for AI development will expand under a partnership between Cloudera and Nvidia that calls for the data cloud provider to integrate Nvidia’s accelerated Apache Spark 3.0 platform as a way to scale d Read more…
RAPIDS Momentum Builds with Analytics, Cloud Backing
Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture. Nvidia also announced that Apach Read more…
Nvidia Platform Pushes GPUs into Machine Learning, High Performance Data Analytics
GPU leader Nvidia, generally associated with deep learning, autonomous vehicles and other higher-end AI-related workloads (and gaming, of course), is mounting an open source end-to-end GPU acceleration platform and ecosy Read more…