Sign up for our newsletter and get the latest big data news and analysis.

Oracle and NVIDIA Bring the Power of the Cloud to the Next Generation of Analytics, Machine Learning and AI

Oracle (NYSE:ORCL) and NVIDIA (NASDAQ: NVDA) today announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2TM platform on Oracle Cloud Infrastructure, to meet the needs of the next generation of analytics, machine learning and AI.

Introducing SQream DB v3.0 the Most Advanced GPU-Accelerated Data Warehouse for Massive Data Analytics

SQream, developer of SQream DB, a leading GPU-accelerated data warehouse for rapidly analyzing massive data stores at a fraction of the cost, announced the general availability of SQream DB v3.0. The new version enables enterprises to quickly and easily load massive volumes of data in the range of terabytes to petabytes for analysis, while generating higher quality business intelligence faster than any other data store at these volumes.

Data Scientists! Transform your PC into an AI Supercomputer

As a data scientist, I’m constantly amazed at all the new and exciting tools at my disposal to perform my data duties. Advances in algorithms, software frameworks, and hardware are making tasks once thought impossible, now commonplace. That’s why I perked up when I saw the new announcement from NVIDIA introducing the TITAN V, an incredibly powerful GPU for the PC, driven by an advanced GPU architecture, NVIDIA Volta.

NVIDIA GPU Cloud Now Available to Hundreds of Thousands of AI Researchers Using NVIDIA Desktop GPUs

NVIDIA announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into the power of NVIDIA GPU Cloud (NGC) as the company has extended NGC support to NVIDIA TITAN.

Revolutionizing Healthcare with Artificial Intelligence

Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.  

New Containers on NVIDIA GPU Cloud Help Developers Instantly Deploy Fully Optimized AI and HPC Software

NVIDIA announced that a new advanced data center GPU — the NVIDIA® Tesla® V100 GPU based on NVIDIA’s Volta architecture — is available through major computer makers and chosen by major cloud providers to deliver artificial intelligence and high performance computing.

Virtual GPUs: Accelerate Mobility, Productivity & Security in Healthcare

Many hospitals have turned to virtualization to provision high performance, secure virtual workstations using the compute power of a single physical hardware resource. That’s according to a new report from HPE, that explores how virtual GPU technology is helping to modernize healthcare data workloads.

AI is Inspiring the Next Wave of Healthcare Advancement

Advancements in artificial intelligence, or AI, are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. A new report from HPE focuses on how tech tools like GPUs and deep learning platforms are changing and advancing the health care industry.

Modernizing Healthcare Workloads with Virtual GPU Technology

In the healthcare sector, clinicians are increasingly using mobile devices such as smartphones, tablets, and personal laptops to access patient records and more. Many hospitals have turned to virtualization and virtual GPU technology to offer greater mobility, security, and IT manageability. Download the report from HPE that explores how virtual GPU technology is modernizing healthcare. 

NVIDIA Launches AI Cloud Container Registry to Accelerate Deep Learning; Volta GPUs Debut on AWS

NVIDIA announced immediate availability of the NVIDIA® GPU Cloud (NGC) container registry for AI developers worldwide. In just a few steps, NGC helps developers get started with deep learning development through no-cost access to a comprehensive, easy-to-use, fully optimized deep learning software stack.