Tel Aviv-based AI orchestration and virtualization software startup Run:AI has raised $30 million in a new round of funding. The Series B round was led by Insight Partners, with participation from existing investors TLV Partners and S-Capital, bringing Run:AI’s total venture financing to $43 million.
Lonne Jaffe, Managing Director at Insight Partners, will also join Run:AI’s board. Run:AI, which launched in 2019, plans to use the investment to fund rapid expansion and recruitment.
Run:AI has built an orchestration and virtualization software layer tailored to the needs of AI workloads running on GPUs and similar chipsets. According to the company, the platform is the first to bring OS-level virtualization software to workloads running on GPUs.
Run:AI’s Kubernetes-based container platform for AI clouds pools and shares GPUs by automatically assigning the necessary amount of compute power – from fractions of GPUs, to multiple GPUs, to multiple nodes of GPUs – so that researchers can receive as much compute power as they need.
Enterprises and large research centers are using Run:AI to solve their resource challenges for both training and inference; better utilization of their AI computing infrastructure allows them to bring AI solutions to market faster.