Workload Scheduling and Management

Workload Scheduling and Management

Univa is the leading innovator of enterprise-class workload scheduling and management solutions

Univa Grid Engine helps organizations improve ROI and deliver better results faster by optimizing throughput and performance of applications, containers and services and maximizing shared compute resources across on-premise, hybrid and cloud infrastructures.


grid engine

Univa Grid Engine Features

Grid Engine software manages workload placement automatically, maximizes shared resources, supports extreme scale, provides enterprise-grade dependability and accelerates deployment of any container, application or service in any technology environment, on-premise or in the cloud.

Container Support

Run containers, such as Docker or Singularity, in a Univa Grid Engine cluster at scale and blend containers with other workloads supporting heterogeneous applications and technology environments.

GPU Support

Get the most out of GPU-powered servers by optimally mapping Machine Learning, HPC or other GPU-based workloads onto the complex topology of GPU servers in clusters or clouds.

Univa Grid Engine Add-On

License Orchestrator

Sharing and use of limited, often costly, application license features across users, groups, departments, or projects.

Univa Grid Engine is the path to scaled up data centers and will support any existing environment.

Broadest Operating System Support


Container and Microservices Support

Extensive Hardware Support


Wide Application & Framework Support


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