Cloud

Seamless HPC and AI workload management with Activeeon, HPE, and Intel

HPE, Intel, together with Activeeon and in the framework of HPE GreenLake, allow end-users, developers and data scientists to run pure HPC, pure AI and converged HPC/AI workflows, and to extend this environment to seamlessly manage workloads and data across off-premises managed cloud and public cloud systems. more...

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Whitepaper

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Benefits of Migrating from Jams Scheduler to ActiveEon Orchestrator

The replacement of Jams Scheduler (Help Systems) enables to considerably optimize the management of the infrastructure, reduce the number of orchestrated IT workflows, as well as improve the efficiency and modularity of the IT management. more...

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Use Case

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Activeeon Training

Learn how to use ProActive Workflows & Scheduling and ProActive AI Orchestration in 5 training sessions more...

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[MetaGenoPolis] Microbiome analytics orchestration

Our microbiota is a key actor between food and our body and a major actor in well-being, health and desease more...

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Use Case

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business processes and cloud applications

Workload automation and job scheduling for hybrid cloud

While adopting a cloud strategy, businesses need a solution to help them build a workflow to run business applications in the cloud, often along with existing on-premise infrastructure... more...

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Whitepaper

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Workload Orchestrator for Banks and Insurances

Workload Automation for Insurance Companies and Banks

Embrace new regulations to leverage solutions to automate and scal workloads more...

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Whitepaper

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[CNES] Satellite imagery processing at scale with cloud bursting elasticity

CNES works with Activeeon on Sentinel satellite imagery analysis as part of PEPS (Plateforme d’exploitation des produits Sentinel) project. PEPS platform is part of PEPS aims to provide external users, in SaaS mode, the access to satellite imagery data, for research, education, agronomy or commercial use. more...

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Use Case

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Cloud

[Legal and General] Solvency II Simulations on Microsoft Azure

Now, thanks to ProActive and additional optimizations we made along the way with Azure, the batch time which previously was taking us 18 hours, is now down to 5 hours more...

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