YellowDog’s software enables automatic management of high performance computing workloads, through intelligent and predictive scheduling and orchestration.
YellowDog scales, controls, and optimises compute hungry workloads.Request Information
Workloads run smarter with YellowDog.
Bursty, complex and compute hungry applications are more common than ever in the enterprise. When computing resources are not available for these dynamic workloads, deadlines are missed and budgets exceeded.
YellowDog’s workload management enables high performance computing workloads to be automatically delivered on time and on budget.
Managing computing resources in hybrid and multi-cloud environments.
Determines the best computing resources for workloads.
Manages task allocation and tracking, resource co-ordination, data transport, data synchronisation, task inputs and outputs.
YellowDog Dashboards and APIs for integration with existing dashboards and infrastructure monitoring systems.
Advanced machine learning algorithms accurately predict workload run time.
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YellowDog’s software automatically understands computing:
Using this data, the YellowDog Platform is able to make intelligent decisions on the Best Source of Compute for the workload to ensure it is delivered on time and on budget.
Access to the YellowDog Platform for 3rd party applications and schedulers is via Java or .Net client libraries or direct via a REST API. Users can also access the YellowDog Platform portal which in addition to providing in-depth real-time monitoring of workloads and compute requirements, allows users to submit work and control compute.
Learn more about YellowDog's software architecture.
Discover YellowDog's platform services.
Contact the YellowDog team to learn more or to request a demo.
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