Nvidia is acquiring Run:ai, a Tel Aviv-based firm that makes it simpler for builders and operations groups to handle and optimize their AI {hardware} infrastructure, for an undisclosed sum.
Ctech reported earlier this morning the businesses have been in “advanced negotiations” that would see Nvidia pay upwards of $1 billion for Run:ai. Evidently, these negotiations went with out a hitch.
Nvidia says that it’ll proceed to supply Run:ai’s merchandise “under the same business model” for the quick future, and put money into Run:ai’s product roadmap as a part of Nvidia’s DGX Cloud AI platform.
“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,” Omri Geller, Run:ai’s CEO, mentioned in an announcement. “We’re thrilled to join Nvidia and look forward to continuing our journey together.”
Geller co-founded Run:ai with Ronen Dar a number of years in the past after the 2 studied collectively at Tel Aviv College beneath professor Meir Feder, Run:ai’s third co-founder. Geller, Dar and Feder sought to construct a platform that would “break up” AI fashions into fragments that run in parallel throughout {hardware}, whether or not on-premises, on clouds or on the edge.
Whereas Run:AI has comparatively few direct opponents, different startups are making use of the idea of dynamic {hardware} allocation to AI workloads. For instance, Grid.ai gives software program that permits information scientists to coach AI fashions throughout GPUs, processors and extra in parallel.
However comparatively early in its life, Run:AI managed to determine a big buyer base of Fortune 500 firms — which in flip attracted VC funding. Previous to the acquisition, Run:ai had raised $118 million in capital from backers together with Perception Companions, Tiger World, S Capital and TLV Companions.
