Run:AI’s Deep Learning (DL) orchestration platform helps organizations manage Graphics Processing Unit (GPU) resource allocation and increase cluster utilization. Run:AI pools compute resources and then applies advanced scheduling to dynamically set policies and orchestrate jobs. IT gains full control over GPU utilization across nodes, clusters, and sites, while data scientists speed DL initiatives by accessing compute when and how they need it.
The Run:AI software platform decouples data science workloads from the underlying hardware. By pooling resources and applying an advanced scheduling mechanism to data science workflows, Run:AI greatly increases the ability of data science teams to fully utilize all available resources, essentially creating unlimited compute. Data scientists can increase the number of experiments they run, speed time to results, and ultimately meet the business goals of their AI initiatives. IT gains control and visibility over the full AI infrastructure stack.