Supercomputing the Hyperloop on Azure

February 14, 2017, 8:38 am

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Today Cycle Computing announced that the HyperXite team is using CycleCloud software to manage Hyperloop simulations using ANSYS Fluent on the Azure Cloud. "Our mission is optimize and economize the transportation of the future and Cycle Computing has made that endeavor so much easier, said Nima Mohseni, Simulation Lead, HyperXite. “We absolutely require a solution that can compress and condense our timeline while providing the powerful computational results we require. Thank you to Cycle Computing for making a significant difference in our ability to complete our work.”

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Nvidia Brings AI to the Cloud with the HGX-1 Hyperscale GPU Accelerator

March 8, 2017, 11:56 am

≫ Next: Interview: XTREME DESIGN Automates HPC Cloud Configurations

≪ Previous: Supercomputing the Hyperloop on Azure

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Today, Microsoft, NVIDIA, and Ingrasys announced a new industry standard design to accelerate Artificial Intelligence in the next generation cloud. "Powered by eight NVIDIA Tesla P100 GPUs in each chassis, HGX-1 features an innovative switching design based on NVIDIA NVLink interconnect technology and the PCIe standard, enabling a CPU to dynamically connect to any number of GPUs. This allows cloud service providers that standardize on the HGX-1 infrastructure to offer customers a range of CPU and GPU machine instance configurations."

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Interview: XTREME DESIGN Automates HPC Cloud Configurations

March 10, 2017, 8:23 am

≫ Next: Radio Free HPC Looks at Azure’s Move to GPUs and OCP for Deep Learning

≪ Previous: Nvidia Brings AI to the Cloud with the HGX-1 Hyperscale GPU Accelerator

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Tokyo-based Startup XTREME DESIGN recently announced it has raised $700K of funding in its pre-series A round. Launched in early 2015, the Startup’s XTREME DNA software automates the process of configuring, deploying, and monitoring virtual supercomputers on public clouds. To learn more, we caught up with the company's founder, Naoki Shibata.

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Radio Free HPC Looks at Azure’s Move to GPUs and OCP for Deep Learning

March 13, 2017, 7:00 am

≫ Next: How Intel FPGAs Power Azure Deep Learning

≪ Previous: Interview: XTREME DESIGN Automates HPC Cloud Configurations

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In this podcast, the Radio Free HPC team looks at a set of IT and Science stories. Microsoft Azure is making a big move to GPUs and the OCP Platform as part of their Project Olympus. Meanwhile, Huawei is gaining market share in the server market and IBM is bringing storage to the atomic level.

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How Intel FPGAs Power Azure Deep Learning

May 20, 2017, 7:29 am

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

≪ Previous: Radio Free HPC Looks at Azure’s Move to GPUs and OCP for Deep Learning

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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.

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

June 27, 2017, 1:25 am

≫ Next: Microsoft Acquires Cycle Computing

≪ Previous: How Intel FPGAs Power Azure Deep Learning

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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.”

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Microsoft Acquires Cycle Computing

August 15, 2017, 7:42 am

≫ Next: Video: Deep Learning on Azure with GPUs

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

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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."

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Video: Deep Learning on Azure with GPUs

August 18, 2017, 8:42 am

≫ Next: Radio Free HPC Looks at Eclipse Simulations

≪ Previous: Microsoft Acquires Cycle Computing

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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."

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Radio Free HPC Looks at Eclipse Simulations

August 21, 2017, 5:00 am

≫ Next: Cray Supercomputing Comes to Microsoft Azure

≪ Previous: Video: Deep Learning on Azure with GPUs

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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:

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Cray Supercomputing Comes to Microsoft Azure

October 23, 2017, 7:08 am

≫ Next: Microsoft Azure Becomes First Global Cloud Provider to Deploy AMD EPYC

≪ Previous: Radio Free HPC Looks at Eclipse Simulations

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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.

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Microsoft Azure Becomes First Global Cloud Provider to Deploy AMD EPYC

December 6, 2017, 8:20 am

≫ Next: Radio Free HPC does their 2018 Technology Predictions

≪ Previous: Cray Supercomputing Comes to Microsoft Azure

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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 […]

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Radio Free HPC does their 2018 Technology Predictions

December 27, 2017, 8:02 am

≫ Next: Microsoft to acquire Avere Systems

≪ Previous: Microsoft Azure Becomes First Global Cloud Provider to Deploy AMD EPYC

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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.

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Microsoft to acquire Avere Systems

January 3, 2018, 7:29 am

≫ Next: Big 3 Cloud Providers join with NSF to Support Data Science

≪ Previous: Radio Free HPC does their 2018 Technology Predictions

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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."

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Big 3 Cloud Providers join with NSF to Support Data Science

February 8, 2018, 8:00 am

≫ Next: Alces Flight: On Demand HPC now Available in the Azure Marketplace

≪ Previous: Microsoft to acquire Avere Systems

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"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.”

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Alces Flight: On Demand HPC now Available in the Azure Marketplace

March 13, 2018, 8:10 am

≫ Next: Altair Steps up to Azure Cloud with Inspire Unlimited

≪ Previous: Big 3 Cloud Providers join with NSF to Support Data Science

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Microsoft Azure customers worldwide now gain access to Alces Flight to take advantage of the scalability, reliability and agility of Azure. With Alces Flight, it is possible for researchers to spin up any size of High-Performance Computing cluster in minutes, providing users with a fully-featured HPC environment that includes thousands of open source applications. 

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Altair Steps up to Azure Cloud with Inspire Unlimited

April 15, 2018, 5:18 am

≫ Next: Universities step up to Cloud Bursting

≪ Previous: Alces Flight: On Demand HPC now Available in the Azure Marketplace

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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.

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Universities step up to Cloud Bursting

April 19, 2018, 8:02 am

≫ Next: Radio Free HPC Looks at New USA Supercomputing Map

≪ Previous: Altair Steps up to Azure Cloud with Inspire Unlimited

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In this special guest feature, Mahesh Pancholi from OCF writes that many of universities are now engaging in cloud bursting and are regularly taking advantage of public cloud infrastructures that are widely available from large companies like Amazon, Google and Microsoft. "By bursting into the public cloud, the university can offer the latest and greatest technologies as part of its Research Computing Service for all its researchers."

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Radio Free HPC Looks at New USA Supercomputing Map

April 30, 2018, 7:00 am

≫ Next: Intel FPGAs Power Realtime AI in the Azure cloud

≪ Previous: Universities step up to Cloud Bursting

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In this podcast, the Radio Free HPC team looks at the new interactive USA Supercomputing Map from Hyperion Research. "As part of the discussion, Rich recaps Hyperion’s recent HPC User Forum in Tucson. The event featured an extended session on Quantum Computing with presentations by D-Wave Systems, Google, IBM, Intel, Microsoft, NIST, and Rigetti Computing."

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Intel FPGAs Power Realtime AI in the Azure cloud

May 10, 2018, 6:59 am

≫ Next: How Microsoft is Moving Forward with HPC in the Cloud

≪ Previous: Radio Free HPC Looks at New USA Supercomputing Map

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At the Microsoft Build conference held this week, Microsoft announced Azure Machine Learning Hardware Accelerated Models powered by Project Brainwave integrated with the Microsoft Azure Machine Learning SDK. In this configuration, customers gain access to industry-leading artificial intelligence inferencing performance for their models using Azure’s large-scale deployments of Intel FPGA (field programmable gate array) technology. "With today’s announcement, customers can now utilize Intel’s FPGA and Intel Xeon technologies to use Microsoft’s stream of AI breakthroughs on both the cloud and the edge."

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How Microsoft is Moving Forward with HPC in the Cloud

July 2, 2018, 7:00 am

≫ Next: Microsoft Powers the Move to the HPC Cloud at PASC18

≪ Previous: Intel FPGAs Power Realtime AI in the Azure cloud

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In this video from the Dell EMC HPC Community Meeting, Tim Carroll from Microsoft describes how the company is working with Dell EMC to move AI and HPC workloads to the Cloud. "The Dell EMC Cloud for Microsoft Azure Stack is a hybrid cloud platform for delivering infrastructure and platform as a service (IaaS and PaaS) with a consistent Azure experience on-premises and in the public cloud. Organizations can access, create, and share application services securely across Azure and Azure Stack for both HPC & AI applications."

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