Run:AI offers an AI cloud platform that speeds up data science initiatives by managing GPU resource allocation and increasing cluster utilization. Dramatically accelerating model training and inference, Run:AI makes AI easy for your whole team. Data scientists and researchers gain access to unlimited compute on demand, MLops and AI Engineering teams can quickly operationalize AI pipelines at scale, and IT gains control and visibility over the full AI infrastructure stack through comprehensive, easy-to-use dashboards. The Run:AI Platform is built on top of Kubernetes, enabling simple integration with leading open source frameworks used by data scientists.


Since its inception in 2018, Run:AI has continued to break through the known limits of GPU technology, releasing multiple new capabilities in rapid succession, such as fractional GPU allocation, thin GPU provisioning, job swapping, and dynamic scheduling for NVIDIA’s Multi-Instance GPU (MIG) technology. It is the only AI infrastructure solution boasting near-100% GPU utilization for its enterprise customers. As cited in The Forrester Wave: AI Infrastructure, Q4 2021, Run:AI offers enterprises “complete flexibility in the hardware they choose to use and where they choose to run it.”