Run:AI develops an automated distributed training technology that virtualizes and accelerates deep learning.
Run:AI has built the world’s first compute-management platform for AI. By centralizing and virtualizing GPU compute resources, Run:AI provides visibility and control over resource prioritization and allocation while simplifying workflows and removing infrastructure hassles for data scientists. This ensures AI projects are mapped to business goals and yields significant improvement in the productivity of data science teams, allowing them to build and train concurrent models without resource limitations. IT and research teams retain control and gain real-time visibility – including seeing and provisioning run-time, queueing, and GPU utilization of each job. A virtual pool of resources enables researchers to view and allocate compute resources across multiple sites – whether on-premises or in the cloud. The Run:AI platform is built on top of Kubernetes, enabling simple integration with leading open source frameworks. Run:AI was founded on 2018 and is headquartered in Tel-Aviv, Israel.
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