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Survey Foretells Explosive Growth in Machine Learning Projects Over Next Two Years

Over at the Univa Blog, Gary Tyreman writes that the company sponsored an industry-wide survey to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. “Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning.”

Univa Announces Collaboration with Sylabs for HPC Containers

Today Univa announced a partnership with Sylabs to offer enhanced support and integration for Sylabs’ Singularity container platform in Univa Grid Engine and other Univa products. “Customers are rapidly embracing containers for high-performance workloads and Singularity offers clear advantages,” said Gary Tyreman, CEO of Univa. “We’re delighted to be collaborating with Sylabs to make container technology easier to use and deploy. By improving interoperability between Univa products and Singularity, we can make it easier for customers to reap the benefits associated with container technology.”

Univa Brings Navops to HPC at ISC 2018

In this video, Gary Tyreman from Univa describes how the company is helping HPC users move their workloads to the Cloud with their Navops products. “Univa is the leading innovator in workload management and orchestration solutions. With Navops suite of products, Univa is bringing its expertise to containers. Univa Navops is a suite of products that enable enterprises to easily migrate to the cloud or hybrid cloud, increase efficiencies and run containers at scale.”

What would you do with a Million cores?

Ian Colle from AWS gave this talk at the Univa Breakfast Briefing at ISC 2018. “To demonstrate the unique ability to run very large enterprise HPC clusters and workloads, Univa leveraged AWS to deploy 1,015,022 cores in a single Univa Grid Engine cluster to showcase the advantages of running large-scale electronic design automation (EDA) workloads in the cloud. The cluster was built in approximately 2.5 hours using Navops Launch automation and comprised more than 55,000 AWS instances in 3 availability zones, 16 different instance types and leveraged AWS Spot Fleet technology to maximize the rate at which Amazon EC2 hosts were launched while enabling capacity and costs to be managed according to policy.”

NVIDIA GPUs Power HPC & AI Workloads in Cloud with Univa

Duncan Poole from NVIDIA gave this talk at the Univa Breakfast Briefing at ISC 2018. “The rise of AI workloads on GPU-enabled systems like RAIDEN in Japan introduces a corresponding and compelling demand for Univa Grid Engine. Aside from being the de facto standard for enterprise-class deployments of shared computational infrastructures for managed HPC and AI workloads, Univa Grid Engine delivers industry-leading integrations with NVIDIA GPUs and Docker containers.”

Univa: Optimizing On-Premise Clusters and Migration to the Cloud

In this video from ISC 2018, Rob Lalonde describes how Univa products optimize on-premise clusters and migration to the Cloud. “Univa is the leading independent provider of software-defined computing infrastructure and workload orchestration solutions. Univa’s intelligent cluster management software increases efficiency while accelerating enterprise migration to hybrid clouds. We help hundreds of companies to manage thousands of applications and run billions of tasks every day.”

Univa Deploys Million-core Grid Engine Cluster on AWS

To demonstrate the unique ability to run very large enterprise HPC clusters and workloads, Univa leveraged AWS to deploy 1,015,022 cores in a single Univa Grid Engine cluster to showcase the advantages of running large-scale electronic design automation (EDA) workloads in the cloud. The cluster was built in approximately 2.5 hours using Navops Launch automation and comprised more than 55,000 AWS instances in 3 availability zones, 16 different instance types and leveraged AWS Spot Fleet technology to maximize the rate at which Amazon EC2 hosts were launched while enabling capacity and costs to be managed according to policy.

Radio Free HPC Previews ISC Student Cluster Competition & Ancillary Events

In this podcast, the Radio Free HPC team previews the ISC 2018 Student Cluster Competition. “Now in its seventh year, the Student Cluster Competition enables international STEM teams to take part in a real-time contest focused on advancing STEM disciplines and HPC skills development at ISC 2018 from June 25-27.”

Univa to host Breakfast Briefing on HPC in the Cloud at ISC 2018

Univa will host a Breakfast Briefing on HPC in the Cloud at ISC 2018. “You are invited to attend this briefing on HPC in the Cloud at ISC 2018. A panel of product executives from Amazon Web Services and Nvidia will join Univa to share real-world use cases and discuss best practices for accelerating HPC cloud migration. Please join us and see how to increase the efficiency of on-premise data centers, and address peak needs with hybrid cloud bursting.”

Univa Navops Launch powers Cloudbursting for Mellanox Hybrid Cloud

Today Univa announced that Mellanox has selected Univa’s Navops Launch to extend its on-premise EDA cluster to the cloud, providing Mellanox with cost-effective, on-demand capacity. “Mellanox Technologies provides high-performance solutions to a range of customers looking to innovate with intelligent, interconnected solutions for servers, storage and hyper-converged infrastructure,” said Doron Sayag, IT enterprise computing services senior manager at Mellanox Technologies. “Integrating an enterprise-grade cluster management tool like Navops Launch into our own on-premise data center allowed us to better address peak performance needs with seamless bursting of our HPC cluster to the cloud during tape-outs. By operating more efficiently, we get to provide our customers with exceptional products for years to come.”