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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.

Univa Open Sources Universal Resource Broker for Kubernetes

Today Univa announced the open source availability of the Universal Resource Broker (URB) adapter for Kubernetes. This new URB adapter will be of interest for organizations running Apache Mesos frameworks that are looking to deploy Kubernetes and Mesos workloads on a common infrastructure. The release of the URB adapter for Kubernetes marks a significant open source contribution by Univa and demonstrates its commitment to the Kubernetes community and to helping users get the most from their infrastructure investments.

Univa Manages Enterprise Container Workloads on Kubernetes Distros

Today Univa announced Navops Command, a ground breaking software suite that implements sophisticated workload placement and advanced policy management for enterprises to take full advantage of containers on any Kubernetes distribution.