“The integration of OKA Predict with Slurm placed a solid foundation for automation of job submission, ensuring efficient usage of the HPC cluster, which would affect in positive way not only the simulations of the end-users but also the power consumption.”
Eddy Taillefer – Okinawa Institute of Science and Technology
“OKA Core has allowed us to identify non-optimal uses of the cluster disrupting its operation.”
Matthieu Marquillie – HPC Lead at Université de Lille
“With HPC users becoming increasingly conscious about the cost and environmental impact of HPC systems, the OKA tools are increasingly being put forward to our customers to help address these challenges.”
Andrew Dean – Sales Director at OCF
And shape your HPC for tomorrow
Shape the future of your infrastructure
Assess and predict the load of your clusters to better prepare for their future. Identify which workloads are good candidates for Cloud migration, and project the cost and size of your future hybrid HPC resources.
Leverage machine learning power trained on your own cluster usage to increase resources productivity with real-time job submission optimization. Limit waste of resources by running jobs at their optimal configuration.
The right component for each and every optimization area
Advanced data filtering to get all the answers you need, at any level
Forecast and detection
Plan in advance the behavior of your clusters: either globally or at the level of a job. Plan your projects on to
low-activity periods; anticipate peaks of load… become proactive and anticipate problems.
How much will it cost to run a specific workload in the cloud? Project the necessary budget based on the
Then, monitor and control your actual Cloud consumption on a day-to-day basis.
Follow the evolution of your metrics server by server and visualize where physically the “hot spots” are
Help and support
Find help, FAQs, and a direct link to our support in one click.