Run:AI, a firm headquartered in Tel Aviv specializing in the orchestration and optimization of AI computing infrastructure, has announced the completion of a $30 million Series B funding round. Insight Partners spearheaded this latest investment, with continued support from previous investors TLV Partners and S Capital. This new financing increases the company’s aggregate funding to $43 million.

The foundation of Run:AI’s technology lies in its capacity to efficiently virtualize and manage AI workloads utilizing a Kubernetes-based scheduling system. Historically, the virtualization of GPUs presented significant challenges, resulting in substantial periods of inactivity for physical GPUs despite growing demand for AI model training. This was due to difficulties in dynamically assigning these resources across different initiatives.

Run:AI’s platform aims to provide users with a simplified approach to AI infrastructure by abstracting away complexities and consolidating all GPU resources, regardless of location – whether in cloud environments or on-site. This streamlined approach also facilitates easier resource sharing among users and teams within an organization. Simultaneously, IT departments gain enhanced visibility into the utilization of their computing assets.

Currently, Run:AI collaborates with clients across diverse sectors, including the automotive, financial, defense, manufacturing, and healthcare industries. The company reports that its customers are experiencing an average increase in GPU utilization, rising from 25% to 75%.

According to Omri Geller, CEO of Run:AI, the newly acquired funds will be allocated to two key areas of growth: “First, we plan to expand our development team threefold in the coming year.” He further explained, “We have a robust plan for developing the groundbreaking aspects of our product vision – specifically concerning the virtualization of AI workloads – and a larger team will accelerate progress in this domain. Second, this funding level allows us to rapidly broaden our sales and marketing efforts into new industries and geographic regions.”