NVIDIA is set to acquire Run:ai, a workload management and orchestration software company, as part of its ongoing expansion in artificial intelligence infrastructure. This move aims to enhance the efficiency of AI computing resources across complex, distributed environments.
Run:ai specializes in optimizing AI hardware infrastructure for developers and operations teams, making it simpler to manage and enhance performance across data centers, whether on-premises, in the cloud, or hybrid setups. The acquisition, rumored to be valued at around $700 million, marks a significant step in NVIDIA's growth strategy and its increasing influence in the AI sector.
"Run:ai has been a close collaborator with NVIDIA since 2020, sharing our passion for maximizing infrastructure efficiency. Joining forces with NVIDIA, we look forward to further innovating and driving advancements for our customers," said Omri Geller, CEO and Co-Founder of Run:ai.
NVIDIA plans to integrate Run:ai’s capabilities into its DGX Cloud AI platform, enhancing the service offerings for enterprise customers needing robust compute infrastructure to train AI models, particularly in generative AI across multiple locations. This integration underscores NVIDIA's commitment to improving the accessibility and efficiency of AI applications, as noted by Alexis Bjorlin, NVIDIA’s VP of DGX Cloud.
"AI deployments are becoming increasingly complex as workloads span across various infrastructures. By combining NVIDIA’s accelerated computing platform with Run:ai’s sophisticated orchestration capabilities, we can offer customers a unified system to access GPU solutions anywhere, addressing challenges like compute limitations and infrastructure inefficiencies," Bjorlin explained.
Prior to the acquisition, Run:ai had raised $118 million in funding, attracting investments from major firms, including Insight Partners and Tiger Global, and had already established a significant customer base among Fortune 500 companies. This acquisition positions NVIDIA to better support sophisticated AI applications such as generative AI, recommender systems, and search engines through advanced scheduling and resource optimization.
Run:ai, co-founded by Geller, Ronen Dar, and Meir Feder from Tel Aviv University, has made significant strides in breaking AI models into fragments that run in parallel, optimizing hardware use across various environments. This capability is set to be a crucial addition to NVIDIA's suite, furthering its ability to offer tailored and flexible AI solutions to a global clientele.
Elsewhere, NVIDIA has partnered with AWS to integrate NVIDIA's latest GPU platform, the NVIDIA Blackwell GPU, with AWS offerings, ushering in a new era of advanced infrastructure for generative artificial intelligence (AI) applications.
