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Big 3 Cloud Providers join with NSF to Support Data Science

“NSF’s participation with major cloud providers is an innovative approach to combining resources to better support data science research,” said Jim Kurose, assistant director of NSF for Computer and Information Science and Engineering (CISE). “This type of collaboration enables fundamental research and spurs technology development and economic growth in areas of mutual interest to the participants, driving innovation for the long-term benefit of our nation.”

Microsoft to acquire Avere Systems

Over at the Microsoft Blog, Jason Zander writes that the company is acquiring Avere Systems. “By bringing together Avere’s storage expertise with the power of Microsoft’s cloud, customers will benefit from industry-leading innovations that enable the largest, most complex high-performance workloads to run in Microsoft Azure. We are excited to welcome Avere to Microsoft, and look forward to the impact their technology and the team will have on Azure and the customer experience.”

Radio Free HPC does their 2018 Technology Predictions

In this podcast, the Radio Free HPC team reviews their 2017 technology predictions from last year. After that, we do our 2018 Predictions including a bombshell on who Rich thinks will acquire Cray by the end of the year.

Microsoft Azure Becomes First Global Cloud Provider to Deploy AMD EPYC

Today AMD announced the first public cloud instances powered by the AMD EPYC processor. Microsoft Azure has deployed AMD EPYC processors in its datacenters in advance of preview for its latest L-Series of Virtual Machines (VM) for storage optimized workloads. The Lv2 VM family will take advantage of the high-core count and connectivity support of […]

Cray Supercomputing Comes to Microsoft Azure

Today Cray announced a partnership with Microsoft to offer dedicated Cray supercomputing systems in Microsoft Azure. Under the partnership agreement, Microsoft and Cray will jointly engage with customers to offer dedicated Cray supercomputing systems in Microsoft Azure datacenters to enable customers to run AI, advanced analytics, and modeling and simulation workloads at unprecedented scale, seamlessly connected to the Azure cloud.

Radio Free HPC Looks at Eclipse Simulations

In this podcast, the Radio Free HPC team discusses the eclipse and how researchers are using supercomputers to simulate the corona of the sun at eclipse time. After that, look at the the top Technology stories in our Catch of the Week:

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.”

Microsoft Acquires Cycle Computing

Today Microsoft announced it has acquired Cycle Computing, a software company focused on making cloud computing resources more readily available for HPC workloads. “Now supporting InfiniBand and accelerated GPU computing, Microsoft Azure looks to be a perfect home for Cycle Computing, which started its journey with software for aggregating compute resources at AWS. The company later added similar capabilities for Azure and Google Cloud.”

Bright Computing Steps up with Cloud Bursting to Azure at ISC 2017

In this video from ISC 2017, Bill Wagner from Bright Computing describes the company’s new capabilities for Cloud Bursting to Microsoft Azure. “Cloud bursting from an on-premises cluster to Microsoft Azure offers companies an efficient, cost-effective, secure and flexible way to add additional resources to their HPC infrastructure. Bright’s integration with Azure also gives our clients the ability to build an entire off-premises cluster for compute-intensive workloads in the Azure cloud platform.”

How Intel FPGAs Power Azure Deep Learning

Microsoft Azure CTO Mark Russinovich recently disclosed major advances in Microsoft’s hyperscale deployment of Intel field programmable gate arrays (FPGAs). These advances have resulted in the industry’s fastest public cloud network, and new technology for acceleration of Deep Neural Networks (DNNs) that replicate “thinking” in a manner that’s conceptually similar to that of the human brain.