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Podcast: Weather Forecasting Goes Crowdsourcing, Q means Quantum

In this episode of Radio Free HPC, Dan, Henry, and Shahin start with a spirited discussion about IBM’s recent announcement of a “crowd sourced weather prediction application.” Henry was dubious as to whether Big Blue could get access to the data they need in order to truly put out a valuable product. Dan had questions about the value of the crowd sourced data and how it could be scrubbed in order to be useful. Shahin was pretty favorable towards IBM’s plans and believes that they will solve the problems that Henry and Dan raised.

France to Double Supercomputing Capacity with Jean Zay Ai System from HPE

HPE is building a new Ai supercomputer for GENCI in France. Called Jean Zay, the 14 Petaflop system is part of an artificial intelligence initiative called for by President Macron to bolster the nation’s scientific and economic growth. “At Hewlett Packard Enterprise, we continue to fuel the next frontier and unlock discoveries with our end-to-end HPC and AI offerings that hold a strong presence in France and have been further strengthened just in the past couple of years.”

Oracle Expands Cloud Business with Next-Gen Data Center in Canada

Oracle just announced the opening of a Toronto data center to support in regional customer demand for Oracle Cloud Infrastructure. “Oracle’s next-generation cloud infrastructure offers the most flexibility in the public cloud, allowing companies to run traditional and cloud-native workloads on the same platform. With Oracle’s modern cloud regions, only Oracle can deliver the industry’s broadest, deepest, and fastest growing suite of cloud applications, Oracle Autonomous Database, and new services in security, Blockchain and Artificial Intelligence, all running on its enterprise-grade cloud infrastructure.”

Job of the Week: System Administrator at D.E. Shaw Research

D.E. Shaw Research is seeking an HPC System Administrator in our Job of the Week. “Exceptional sysadmins sought to manage systems, storage, and network infrastructure for a New York–based interdisciplinary research group. Successful hires will be responsible for our servers and cluster environments. Our research effort is aimed at achieving major scientific advances in the field of biochemistry and fundamentally transforming the process of drug discovery.”

NVIDIA T4 GPUs Come to Google Cloud for High Speed Machine Learning

Today the Google Cloud announced Public Beta availability of NVIDIA T4 GPUs for Machine Learning workloads. Starting today, NVIDIA T4 GPU instances are available in the U.S. and Europe as well as several other regions across the globe, including Brazil, India, Japan and Singapore. “The T4 is the best GPU in our product portfolio for running inference workloads. Its high-performance characteristics for FP16, INT8, and INT4 allow you to run high-scale inference with flexible accuracy/performance tradeoffs that are not available on any other accelerator.”

Video: AMD Steps up with renewed focus on High Performance Computing

In this video from CES 2019, AMD President and CEO Dr. Lisa Su describes how the new AMD EPYC processors are changing the game for High Performance Computing. “This is an incredible time to be in technology as the industry pushes the envelope on high-performance computing to solve the biggest challenges we face together,” said Su. “At AMD, we made big bets several years ago to accelerate the pace of innovation for high-performance computing, and 2019 will be an inflection point for the industry as we bring these new products to market.”

R Systems brings HPC Cloud to SUPERNAP in Las Vegas

Today R Systems announced the expansion of its data center and infrastructure capabilities HPC managed services into Switch’s Core Campus in Las Vegas. “Including Switch data centers as part of the offering for R Systems enables us to continue growing with our customers. Since 2005 R Systems has focused exclusively on HPC, which has enabled us to build expertise about the applications, computing, networking and storage technologies that are unique to HPC,” said R Systems Principal Brian Kucic.

Why you can save money by being left behind

In this special guest feature, Dr Rosemary Francis from Ellexus writes that Data Storage needs to be integral to your plans when moving HPC workloads to the Cloud. We can all admit to being pressured into investing in a new solution as soon as it becomes available. We want to be the fastest, the best-informed, […]

Video: Advania Simplifies Moving HPC to the Cloud

In this video, Gísli Kr. from Advania describes how the company enables customer to migrate HPC workloads to the company’s sustainable datacenters in Iceland. “When leveraging Advania´s HPCaaS you have the flexibility to address any workload increase as needed and only pay for the added resources used. By committing resources to our HPC-as-a-Service, Advania offers extremely competitive prices for CPU resources, a price that is unprecedented in the HPC on demand or cloud (IaaS) industry. Additionally Advania is able to reserve resources to accommodate both temporary and permanent requirements for added resources.

IBM Publishes Compendium of Ai Research Papers

Today IBM Research released a 2018 retrospective and blog essay by Dr. Dario Gil, COO of IBM Research, that provides a sneak-peek into the future of AI. “We have curated a collection of one hundred IBM Research AI papers we have published this year, authored by talented researchers and scientists from our twelve global Labs. These scientific advancements are core to our mission to invent the next set of fundamental AI technologies that will take us from today’s “narrow” AI to a new era of “broad” AI, where the potential of the technology can be unlocked across AI developers, enterprise adopters and end-users.”