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The Top Five Trends Driving the Need for New HPC/AI System Architectures

Earlier this month Ayar Labs hosted a webinar on the topic of “Disaggregated System Architectures for Next Generation HPC and AI Workloads,” discussing the need for new architecture and the approaches that are being taken to bring new levels of power, efficiency, and composability to building the supercomputers, and eventually all computing systems of the future. Here are the top five trends that were discussed during the webinar driving the need for new HPC architectures.

Taking Virtualization to a Higher Level at the University of Pisa

In this sponsored post, our friends over at Dell Technologies highlight a compelling case study: the University of Pisa gains greater flexibility and value from its IT infrastructure with widespread virtualization of resources, including high performance computing systems.

Supermicro Powers Red Hat Hyperconverged Infrastructure for Virtualization

Today Supermicro introduced multiple systems tailored to work with a leading open, hyperconverged software offering, Red Hat Hyperconverged Infrastructure. Supermicro collaborated with Red Hat to develop advanced configurations based on industry-leading Supermicro servers featuring the latest technologies. These systems, available now, give customers new options when architecting infrastructure.

Agile HPC with VMware Cloud Foundation & UberCloud

Thomas Francis from the UberCloud and Mohan Potheri from VMware gave this talk at the Stanford HPC Conference. “In this solution we combine the capabilities of the VMware platform, with the solution provided by UberCloud which leverages the automation capabilities of Terraform with the unique packaging and distributing capabilities of docker-based HPC containers to dynamically deploy HPC applications on the vSphere platform.”

Podcast: Accelerating the Adoption of Container Technologies for Exascale Computing

In this Let’s Talk Exascale podcast, Andrew Younge from Sandia National Laboratories describes the new SuperContainers project, which aims to deliver containers and virtualization technologies for productivity, portability, and performance on the first exascale computing machines are planned for 2021. “Essentially, containers allow you to encompass your entire environment in a simple and reproducible way,” says Younge. “So not only do I have my container image that has my application and my entire software stack with it, I also have a manifest for how I got there. That’s a really important notion for many people.”

Bright Computing adds more than 100 new customers In 2019

Commercial enterprises, research universities and government agencies are turning to Bright Cluster Manager to reduce complexity and increase flexibility of their high-performance clusters. Along these lines, the company just announced the addition of more than 100 organizations to its client list in 2019, including AMD, Caterpillar, GlaxoSmithKline, Saab, Northrop Grumman, Trek Bicycles, Samsung, General Dynamics, Lockheed Martin and BAE, as well as 19 government agencies and 28 leading universities.

Sylabs releases SingularityPRO 3.5

Today Sylabs announced the release of SingularityPRO 3.5, a popular container platform for HPC, supercomputing, and AI. “SingularityPRO 3.5, released January 21st, 2020, brings exciting new features to the long-term professionally supported version of the container platform. Based on the open source 3.5.2 release, SingularityPRO will receive security and bug fixes for 3 years, making it an ideal solution for the business-driven needs of enterprise customers containerizing their compute workloads.”

VMware to add BitFusion GPU Virtualization to HPC Capabilities

In this video from SC19, Mohan Potheri from VMware describes how virtualization makes HPC users more productive. “High Performance Computing workloads are forecasted to be one of the fastest-growing workload types through 2020. With VMware, you can capture the benefits of virtualization for HPC workloads while delivering performance that is comparable to bare-metal. Our approach to virtualizing HPC adds a level of flexibility, operational efficiency, agility and security that cannot be achieved in bare-metal environments—enabling faster time to insights and discovery.”

Addressing the Scientific Reproducibility Crisis with Singularity

Michael Bauer from Sylabs gave this talk at the Perth HPC Conference. “Containers provide the means to encapsulate an application, its dependencies, data, and configurations, that allows for full mobility and reproducibility of the software stack. Containers have disrupted the Linux scene within the last few years because they have created a paradigm shift in what it means to package up and move applications and data.”

NVIDIA to Accelerate Machine Learning on VMware Cloud

Today NVIDIA and VMware announced plans to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications.