Deep Learning techniques are bursting into today’s landscape for predictive analytics. The highly parallel characteristics of DL algorithms make the HPC cluster architectures suitable to run those workloads. But the large variety of approaches, implementations and parameterizations at training models and running inference sometimes make difficult to implement such techniques in a cluster infrastructure.
Lenovo intelligent Computing Orchestrator (LiCO), a cluster management tool built on top of OpenHPC suite, addresses these issues by adding some features that will help Data Scientists train their models and run inferences without adding code and make good use of the cluster hardware.
Another innovative feature of LiCO is the Energy Aware Runtime (EAR), that provides a way to orchestrate HPC workloads bearing in mind the power consumption of our cluster.