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NVIDIA HGX-2 Ai Supercomputer Comes to Oracle Cloud Infrastructure

Today Oracle announced support for the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Designed to meet the needs of the next generation of analytics, machine learning, and AI, Oracle is offering GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud container registry. “Whether you are an engineer, data scientist, researcher or developer, we are bringing the power of compute and cloud to your fingertips.

Sunita Chandrasekaran Receives NSF Grant to Create Powerful Software Framework

Over at the University of Delaware, Julie Stewart writes that assistant professor Sunita Chandrasekaran has received an NSF grant to develop frameworks to adapt code for GPU supercomputers. She is working with complex patterns known as wavefronts, which are commonly found in scientific codes used in analyzing the flow of neutrons in a nuclear reactor, extracting patterns from biomedical data or predicting atmospheric patterns.

Open Source RAPIDS GPU Platform to Accelerate Predictive Data Analytics

Today NVIDIA 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 of data and make accurate business predictions at unprecedented speed. “It integrates seamlessly into the world’s most popular data science libraries and workflows to speed up machine learning. We are turbocharging machine learning like we have done with deep learning,” he said.

Nyriad to Power Blockchain-Enabled, AI-Ready Storage at Datacom

Today Hyperscale Storage Processing vendor Nyriad announced an exclusive agreement with Datacom to develop and deploy a next-generation computational storage solution for secure, collaborative processing of data in the Australian market. “Our next-generation data fabric harnesses the power of the GPU to deliver breakthrough storage performance. And that’s where things start to get interesting. The massive processing capacity of the GPU allows us to run artificial intelligence and machine learning models directly on the storage, as well as advanced cryptographic encryption with a blockchain audit ledger in real-time,” said Todd Papaioannou of Nyriad.

Summit Supercomputer Breaks Exaop Barrier on Neural Net Trained to Recognize Extreme Weather Patterns

“Using a climate dataset from Berkeley Lab on the Summit supercomputer at Oak Ridge, they trained a deep neural network to identify extreme weather patterns from high-resolution climate simulations. By tapping into the specialized NVIDIA Tensor Cores built into the GPUs at scale, the researchers achieved a peak performance of 1.13 exaops and a sustained performance of 0.999 – the fastest deep learning algorithm reported to date and an achievement that earned them a spot on this year’s list of finalists for the Gordon Bell Prize.”

Using Ai to Automatically Diagnose Alzheimer’s Disease

Researchers from Stanford University have developed a deep learning based system that can automatically detect Alzheimer’s disease and its biomarkers from MRIs, with 94 percent accuracy. “Our method uses minimal preprocessing of MRIs (imposing minimum preprocessing artifacts) and utilizes a simple data augmentation strategy of downsampled MR images for training purposes,” the researchers stated in their paper.

Video: End to End Needs for Autonomous Vehicles

Norm Marks from NVIDIA gave this talk at the HPC User Forum. “Fueled by advances in artificial intelligence, cars are getting smart enough to begin to drive themselves. But autonomous vehicles will do more than change how we get around. They have the potential to dramatically reduce the number of car crashes, shrink carbon emissions, and provide mobility to people who can’t drive.”

5 of 6 Gordon Bell Finalists use NVIDIA Volta Tensor Core GPUs

Over at the NVIDIA Blog, Geetika Gupta writes that the company’s powerful GPUs are being used by five of the six Gordon Bell Prize finalists. Just announced by ACM, these world-leading researchers did their work on the new NVIDIA GPU-accelerated Summit system at Oak Ridge National Laboratory and Sierra system at Lawrence Livermore National Laboratory.

How AI is Changing the Media & Entertainment Industry

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. To get things started, this post offers up an overview of how AI is impacting the entertainment industry and the future of these sectors. 

Video: NVIDIA Rolls out TensorRT Hyperscale Platform and New T4 GPU for Ai Datacenters

This morning at GTC Japan, NVIDIA CEO Jensen Huang announced a set new products centered around Ai and accelerated computing. Targeting Hyperscale datacenters looking to run Ai workloads, NVIDIA continues to innovate Machine Learning technologies at an unprecedented pace. “There is no question that deep learning-powered AI is being deployed around the world, and we’re seeing incredible growth here,” Huang told an audience of more than 4,000 press, partners, academics and technologists gathered on the latest stop in a GTC world tour.