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Fireside Chat: Jensen Huang from NVIDIA on how AI will revolutionize Medicine

In this video from the World Medical Innovation Forum, Jensen Huang from NVIDIA discusses the revolution of AI and Medicine with Keith Dreyer, Chief Data Science Officer at PHS. “Medical imaging researchers have discovered the power of deep learning. Half of the papers presented at last year’s MICCAI, the leading medical imaging conference, applied deep learning. We’re working with over 300 healthcare startups tackling challenges now possible with deep learning.”

HPE Deploys “Genius” Supercomputer at KU Leuven

Today HPE announced a new supercomputer installation at KU Leuven, a Flemish research university consistently ranked as one of the five most innovative universities in the world. HPE collaborated with KU Leuven to develop and deploy Genius, a new supercomputer built to run artificial intelligence (AI) workloads. The system will be available to both academia and the industry to build applications that drive scientific breakthroughs, economic growth and innovation in Flanders, the northern region of Belgium.

Why UIUC Built HPC Application Containers for NVIDIA GPU Cloud

In this video from the GPU Technology Conference, John Stone from the University of Illinois describes how container technology in the NVIDIA GPU Cloud help the University distribute accelerated applications for science and engineering. “Containers are a way of packaging up an application and all of its dependencies in such a way that you can install them collectively on a cloud instance or a workstation or a compute node. And it doesn’t require the typical amount of system administration skills and involvement to put one of these containers on a machine.”

Altair Steps up to Azure Cloud with Inspire Unlimited

Altair software is now part of the Inspire Unlimited software-as-a-service offering available on the Azure cloud. “Unlike the HyperWorks Unlimited Appliance, where performance is based on the number of nodes, Inspire’s scale requirements are based on the number of simultaneous users; there could be 1,000 engineers working together at a time,” says Sam Mahalingam from Altair. “We felt that the HPC environment in Azure was architected to meet the type of back-end requirements we needed for Inspire.” Altair uses Microsoft Azure Virtual Machines, with NV instances powered by NVIDIA Tesla M60 GPUs.

Using Ai to detect Gravitational Waves with the Blue Waters Supercomputer

NASA researchers are using AI technologies to detect gravitational waves. The work is described in a new article in Physics Review D this month. “This article shows that we can automatically detect and group together noise anomalies in data from the LIGO detectors by using artificial intelligence algorithms based on neural networks that were already pre-trained to classify images of real-world objects,” said research scientist, Eliu Huerta.

Video: The Convergence of HPC and Deep Learning

Axel Koehler from NVIDIA gave this talk at the Switzerland HPC Conference. “The technology originally developed for HPC has enabled deep learning, and deep learning is enabling many usages in science. Deep learning is also helping deliver real-time results with models that used to take days or months to simulate. The presentation will give an overview about the latest hard- and software developments for HPC and Deep Learning from NVIDIA and will show some examples that Deep Learning can be combined with traditional large scale simulations.”

How ZIFF Powers AI with Dell EMC Technologies

In this video from the GPU Technology Conference, David Gonzolez from Ziff describes how Dell EMC powers AI solutions at his company. “ZIFF is unique in its approach to Ai. By focusing on empowering product visionaries and software engineers, ZIFF can help organizations fully unlock the insights and automation trapped within their unstructured data.” To accelerate it’s unstructured database technology, Ziff uses the Dell PowerEdge C4140, which allows them meet the demands of cognitive computing workloads with a dense, accelerator-optimized 1U server supporting 4 GPUs and superior thermal efficiency.

How NVIDIA Powers HPC for Energy at Dell EMC

In this video from the GPU Technology Conference, Peter Lilian from NVIDIA describes how the company works with Dell EMC to deliver extreme performance solutions for the Energy sector. “Dell EMC and NVIDIA have expanded their collaboration by signing a new strategic agreement to include joint product development of new products and solutions that address the burgeoning workload and datacenter requirements, with GPU-accelerated solutions for HPC, data analytics, and artificial intelligence.”

Mellanox powers NVIDIA DGX-2 AI Supercomputer

Today Mellanox announced that the company’s InfiniBand and Ethernet solutions have been chosen to accelerate the new NVIDIA DGX-2 artificial intelligence system. DGX-2 is the first 2 Petaflop system that combines sixteen GPUs and eight Mellanox ConnectX adapters, supporting both EDR InfiniBand and 100 gigabit Ethernet connectivity. The technological advantages of the Mellanox adapters with smart acceleration engines enable the highest performance for AI and Deep Learning applications.

Video: Liqid Teams with Inspur at GTC for Composable Infrastructure

In this video from GTC 2018, Dolly Wu from Inspur and Marius Tudor from Liquid describe how the two companies are collaborating on Composable Infrastructure for AI and Deep Learning workloads. “AI and deep learning applications will determine the direction of next-generation infrastructure design, and we believe dynamically composing GPUs will be central to these emerging platforms,” said Dolly Wu, GM and VP Inspur Systems.