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.