YellowDog Optima - Optimal Predictive Scheduling

We Leverage Machine Learning to Drive Efficiency of Compute-Intensive Workloads

Fully optimise scheduling for resource intensive workloads. Drive utilisation efficiency of hybrid- and multi-cloud infrastructure with machine learning.

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What YellowDog Optima Delivers

Reduce costs, streamline workload execution and gain competitive advantage with YellowDog Optima.

Reduce Compute Costs

Improve efficiency by running more workloads on the same infrastructure.

Streamline Workloads

Reduce priority conflict between workload tasks with optimal scheduling.

Gain Competitive Advantage

Mitigate risk and drive performance by planning cost and overheads in advance.

YellowDog Optima Features

Accurate prediction of workload run times using advanced machine learning.
Integration with leading schedulers and monitoring tools such as IBM Spectrum Symphony, Univa Grid Engine, and Splunk.
Model Training and query REST APIs which support inclusion of seasonal data, decay parameters and validation of model fit.
Automated proactive alerting.

“YellowDog have created functionality that we have wanted for over a decade. This can transform how we run our infrastructure.”

VP and Global Head of Solution Architecture Leading Global Risk & Analytics Business

YellowDog Optima Case Study

Read how models were able to deliver predicted time for workloads with 96% confidence for CPU Time. Reducing costs, boosting end-client satisfaction, and optimising hardware utilisation.

The YellowDog Platform

Whether you're looking for YellowDog's Sigma, Optima, or Assura solutions, the YellowDog Platform makes it all possible. Learn more about our technology here.

Optimise and Predict Performance with YellowDog Optima

To book a demo of YellowDog Optima, or to ask our team for further information, you're just a click away!

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