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 ...

At a keynote at the GPU Technology Conference in Munich today, Nvidia, the video/graphics company turned Artificial Intelligence (AI) juggernaut, is today going another step forward in the AI ...

NVIDIA today announced a GPU-acceleration platform for data science and machine learning, with broad adoption from industry leaders, that enables even the largest companies to analyze massive amounts ...

Collaboration leverages NVIDIA AI and Cognizant's data analytics accelerators with the goal to optimize enterprise cloud costs, enhance performance and help clients modernize their infrastructure to ...

NVIDIA VP for Accelerated Computing Ian Buck unveiled the graphics processing unit (GPU) provider’s new open-source platform, RAPIDS, which promises major potential for accelerating the ability for ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

“NVIDIA’s GPU-acceleration platform with RAPIDS software has immensely improved how we use data — enabling the most complex models to run at scale and deliver even more accurate forecasting,” said ...