Managing spending in the cloud
31 October 2019
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Univa
Univa
Univa (C-1214) Grid Engine is the leading workload management system. The solution maximises the use of shared resources in a data centre and applies advanced policy management tools to deliver products and results faster, more efficiently, and with lower overall costs. The product can be deployed in any technology environment, including containers: on-premise, hybrid or in the cloud. A variety of add-ons can be utilised to extend workload management capabilities and create a customised solution for any enterprise infrastructure.
Grid Engine 8.1.4
3 April 2013
Univa has released Univa Grid Engine Version 8.1.4, with 46 new updates to the previous version
Grid MP 5.8
3 May 2011
US-based company Univa has released version 5.8 of its Grid MP product for building distributed computing environments from both non-dedicated and dedicated resources
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Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
