NVIDIA has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. This Israeli startup focuses on promoting efficient cluster resource utilization for AI workloads across shared accelerated computing infrastructure.
The value of the acquisition has not been disclosed, but estimates suggest it could be around $700 million to $1 billion. This move reflects NVIDIA's commitment to enhancing AI infrastructure management and supporting customers in maximizing their AI computing resources.
Run:ai has built an open platform on Kubernetes, the orchestration layer for modern AI and cloud infrastructure. It supports all popular Kubernetes variants and integrates with third-party AI tools and frameworks.
As AI deployments become increasingly complex, with workloads distributed across cloud, edge, and on-premises data center infrastructure, managing and orchestrating generative AI, recommender systems, search engines, and other workloads requires sophisticated scheduling to optimize performance at the system level and on the underlying infrastructure.
Run:ai's platform enables enterprise customers to manage and optimize their compute infrastructure, whether on premises, in the cloud, or in hybrid environments. The company has built an open platform on Kubernetes, which serves as the orchestration layer for modern AI and cloud infrastructure. It supports all popular Kubernetes variants and integrates with third-party AI tools and frameworks.
NVIDIA plans to continue offering Run:ai's products under the same business model for the immediate future. Additionally, NVIDIA will invest in the Run:ai product roadmap as part of NVIDIA DGX Cloud—an AI platform co-engineered with leading clouds for enterprise developers, offering an integrated, full-stack service optimized for generative AI. NVIDIA DGX and DGX Cloud customers will gain access to Run:ai's capabilities, particularly for large language model deployments.
NVIDIA has been active in the acquisition space, expanding its portfolio to enhance its offerings. Some of the notable recent acquisitions by NVIDIA — OmniML (March 2023), Excelero (April 2022) and Bright Computing (February 2022).
Advertisements