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NeSI in New Zealand Installs Pair of Cray Supercomputers

The New Zealand Science Infrastructure (NeSI) is commissioning a new HPC system that will be colocated at two facilities. “The new systems, provide a step change in power to NeSI’s existing services, including a Cray XC50 Supercomputer and a Cray CS400 cluster High Performance Computer, both sharing the same high performance and offline storage systems.”

Video: Deep Learning on Azure with GPUs

In this video, you’ll learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters. “Previously, few people had access to the computing power for these scenarios. With Azure Batch, that power is available to you when you need it.”

ORNL Readies Facility for 200 Petaflop Summit Supercomputer

Oak Ridge National Laboratory is moving equipment into a new high-performance computing center this month which is anticipated to become one of the world’s premier resources for open science computing. “There were a lot considerations to be had when designing the facilities for Summit,” explained George Wellborn, Heery Project Architect. “We are essentially harnessing a small city’s worth of power into one room. We had to ensure the confined space was adaptable for the power and cooling that is needed to run this next generation supercomputer.”

xDCI Infrastructure Manages 3D Brain Microscopy Images at RENCI

Researchers at RENCI are using xDCI Data CyberInfrastructure to manage brain microscopy images that were overwhelming the storage capacity at individual workstations. “BRAIN-I is a computational infrastructure for handling these huge images combined with a discovery environment where scientists can run applications and do their analysis,” explained Mike Conway, a senior data science researcher at RENCI. “BRAIN-I deals with big data and computation in a user-friendly way so scientists can concentrate on their science.”

Purdue Adds New Resource for GPU-accelerated Research Computing

A new computing resource is available for Purdue researchers running applications that can take advantage of GPU accelerators. The system, known as Halstead-GPU, is a newly GPU-equipped portion of Halstead, Purdue’s newest community cluster research supercomputer. Halstead-GPU nodes consist of two 10-core Intel Xeon E5 CPUs per node, 256 GB of RAM, EDR Infiniband interconnects and two NVIDIA Tesla P100 GPUs. The GPU nodes have the same high-speed scratch storage as the main Halstead cluster.

DeepSat: Monitoring the Earth’s Vitals with AI

In order to better keep a finger on the pulse of the Earth’s health, NASA developed DeepSat, a deep learning AI framework for satellite image classification and segmentation. DeepSat provides vital signs of changing landscapes at the highest possible resolution, enabling scientists to use the data for independent modeling efforts.

Launch a Machine Learning Startup

Launch a Machine Learning Startup – In this report, we’ll address everything from how to choose a framework and pick the tools you need to get started, to the questions you’ll be asking yourself, and the benefits of immersing yourself in the machine and deep learning communities. This report also untangles the jargon and explores what these terms actually mean. Download this special report now.

IBM Scales TensorFlow and Caffe to 256 GPUs

Over at IBM, Sumit Gupta writes that the company has enabled record-breaking image recognition capabilities that make Deep Learning much more practical at scale. “The bottom line is that the record IBM broke slashes Deep Learning training time from days to hours, which will enable customers to more easily address larger technical challenges significantly faster.”

What Developers Need to Consider When Exploring Machine Learning

Frameworks, applications, libraries and toolkits—journeying through the world of deep learning can be daunting. If you’re trying to decide whether or not to begin a machine or deep learning project, there are several points that should first be considered. This is the first article in a five-part series that covers the steps to take before launching a machine learning startup. 

E4 Computer Engineering Demonstrates OpenPOWER Servers at ISC 2017

In this video from ISC 2017, Fabrizio Magugliani from E4 Computer Engineering describes the company’s innovative OP205 OpenPOWER server for HPC applications. “Our newest system, OP205 is our most advanced POWER8-based server designed for high performance computing and big data. It includes coherent accelerator processor interface (CAPI) enabled PCIe slots, and can host two NVIDIA GPUs.”