Nvidia Acquires AI Infrastructure Company Run:AI

Nvidia is acquiring AI infrastructure firm Run:ai.

Founded in 2018, Run:ai is an Israeli startup that optimizes GPU compute resources for AI and deep learning workloads.

Run’s software solutions let users view and allocate compute resources across multiple sites on-premises or in the cloud. Users can pool their GPUs and share computing power for separate tasks.

The company had raised $118 million in total funding, securing investments from Insight Partners, Tiger Global Management and TLV Partners.

Nvidia announced it has reached a definitive agreement to buy Run:ai. The companies have been in talks over a potential acquisition since March.

“Together with Run:ai, Nvidia will enable customers to have a single fabric that accesses GPU solutions anywhere,” according to a company announcement. “Customers can expect to benefit from better GPU utilization, improved management of GPU infrastructure and greater flexibility from the open architecture.”

Nvidia customers will get access to Run:ai’s tech and will be able to run their AI workloads on its infrastructure solutions.

Nvidia said Run:ai products will still be offered under the same business model “for the immediate future” and will invest in its current product roadmap.

“Run:ai has been a close collaborator with Nvidia since 2020 and we share a passion for helping our customers make the most of their infrastructure,” said Omri Geller, Run:ai cofounder and CEO. “We’re thrilled to join Nvidia and look forward to continuing our journey together.”

Related:AI Startup Roundup: Nvidia In Talks to Acquire Run:AI

Run:ai’s solutions are already integrated with Nvidia’s DGX, DGX SuperPOD, Base Command and AI Enterprise software solutions.

Run’s solutions will be extended to DGX Cloud, a cloud-based AI platform for enterprise developers to create generative AI solutions.

Financial details of the deal have not been disclosed. AI Business previously reported the deal could be worth up to $1 billion.