Univa Grid Engine Trial
Maintain service levels. Increase Uptime.
Address issues quickly.
Get important work done.
Align resource usage with business goals.
Ensure >95% utilization. Scale while maintaining policies and advanced capabilities.
Keep track of progress. Detect and understand issues. Comprehend resource usage.
Automate workflow processing.
Control applications end-to-end.
Integrate on-premise with cloud computing. Run mixed workloads on a single cluster.
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"Increase efficiencies, decrease costs and save lives"
Migrate HPC Environment to the CloudDownload PDF
Gavin Burris, Senior Project Leader
The Wharton School, University of Pennsylvania
Dr. Tyrone Grandison, Chief Information Officer
Institute for Health Metrics and Evaluation
Paolo Di Tommaso, Software Engineer
The Center for Genomic Regulation
November 12-15, 2018 | Dallas, TX
December 3-5, 2018 | Boston, MA
Computing Insight UK
December 12-13, 2018 | Manchester, UK
Bio IT World West
March 10-15, 2019 | San Francisco, CA
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University of Southern California Chooses Univa to Manage Growing Infrastructure and Accelerate Machine Learning Research
Hybrid and Dedicated Clouds to Help Drive Massive Growth for Machine Learning Projects Over Next Two Years
Univa Announces Collaboration with Sylabs Inc. and Expanded Support for Singularity Container Science
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