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Asetek Provides Liquid Cooling QCT at NCHC in Taiwan

Today Asetek announced the deployment of the company’s latest heat rejection technology at the National Center for High-Performance Computing (NCHC) in Hsinchu, Taiwan. “Announced in April, the new liquid cooled NCHC cluster to be implemented by QCT will focus on artificial intelligence. A major goal of the project is to achieve a significant PUE figure, requiring the use of liquid cooling to create a mix of liquid cooled NVIDIA V100 GPUs and Intel Xeon Scalable Processors in a high-density configuration. As one of Asetek’s newest OEM Partners, the NCHC installation by QCT represents both the first major HPC site resulting from the collaboration, and one of the first deployments of the latest InRackCDU.”

Oracle Cloud steps up to HPC Workloads at ISC 2018

Over at the Oracle Blog, Karan Batta writes that the company is working to make the Oracle Cloud one of the the best platforms for HPC workloads. “We designed our cloud with HPC as one of the core use-cases, and this influenced everything from our choice of server hardware to our data-center design with nonblocking network to ensure low-latency and high-bandwidth connectivity between compute nodes. Our new managed File Storage service is built with performance as one of its most important characteristics, enabling you to offload the management of a high-performance clustered file system.”

BOXX Special Edition Workstation Breaks 5.0GHz Clock Speed Barrier

BOXX Technologies has announced “the world’s fastest workstation” featuring a professionally overclocked Intel Core i7-8086K Limited Edition processor capable of reaching 5.0GHz across all six of its cores. In commemoration of the 40th anniversary of the Intel 8086 (the processor that launched x86 architecture), Intel provided BOXX with a limited number of the exclusive, high performance CPUs ideal for CAD, 3D modeling, and animation workflows. “The APEXX SE workstation extends far beyond the celebration of the 8086 anniversary,” said Shoaib Mohammad, BOXX VP of Marketing and Business Development. “By integrating this special technology, we’re providing our customers with a unique opportunity to accelerate their workflows with historic Intel processing power they can’t get from the multinational, commodity PC manufacturers.”

NVIDIA Releases Code for Accelerated Machine Learning

Today NVIDIA made a number of announcements centered around Machine Learning software at the Computer Vision and Pattern Recognition Conference in Salt Lake City. “NVIDIA is kicking off the conference by demonstrating an early release of Apex, an open-source PyTorch extension that helps users maximize deep learning training performance on NVIDIA Volta GPUs. Inspired by state of the art mixed precision training in translational networks, sentiment analysis, and image classification, NVIDIA PyTorch developers have created tools bringing these methods to all levels of PyTorch users.”

Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more. 

NVIDIA Opens AI Research Lab in Toronto

Over at the NVIDIA Blog, Gavriel State writes that the company has opened a new AI Research Lab in Toronto. The AI Research Lab will be led by computer scientist and University of Toronto professor Sanja Fidler. “With the new lab, our goal is to triple the number of AI and deep learning researchers working there by year’s end. It will be a state-of-art facility for AI talent to work in and will expand the footprint of our office by about half to accommodate the influx of talent.”

MareNostrum 4 Adds POWER9 Racks with Volta GPUS for AI Research

The Barcelona Supercomputing Centre has augmented their hybrid MareNostrum supercomputer with the new racks of IBM AC922 servers. This upgrade makes BSC becomes the first center in Europe to offer access to the same technologies of the brand new Summit, the most powerful supercomputer in the world. “Accelerated by NVIDIA Volta V100 GPUs, the new three racks have a peak performance of 1.48 Petaflops, a 50% more than MareNostrum3 supercomputer, which was uninstalled just one year ago”

Improving Deep Learning scalability on HPE servers with NovuMind: GPU RDMA made easy

Bruno Monnet from HPE gave this talk at the NVIDIA GPU Technology Conference. “Deep Learning demands massive amounts of computational power. Those computation power usually involve heterogeneous computation resources, e.g., GPUs and InfiniBand as installed on HPE Apollo. NovuForce deep learning softwares within the docker image has been optimized for the latest technology like NVIDIA Pascal GPU and infiniband GPUDirect RDMA. This flexibility of the software, combined with the broad GPU servers in HPE portfolio, makes one of the most efficient and scalable solutions.”

Energy Companies Embrace Deep Learning for Inspections, Exploration & More

This is the second entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how energy companies are embracing deep learning for inspections, exploration and more. 

Video: Researchers Step Up with the New Summit Supercomputer

“The biggest problems in science require supercomputers of unprecedented capability. That’s why the ORNL launched Summit, a system 8 times more powerful than their previous top-ranked system, Titan. Summit is providing scientists with incredible computing power to solve challenges in energy, artificial intelligence, human health, and other research areas, that were simply out of reach until now. These discoveries will help shape our understanding of the universe, bolster US economic competitiveness, and contribute to a better future.”