NVIDIA buys orchestration software provider Run:ai

NVIDIA has entered into an agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider.
NVIDIA DGX A100 systemsNVIDIA did not reveal the financial details of the deal.

Customer AI deployments are becoming 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 enables enterprises 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, the orchestration layer for modern AI and cloud infrastructure. It supports all popular Kubernetes variants and integrates with third-party AI tools and frameworks.

Run:ai customers include some of the world’s largest enterprises which use the Run:ai platform to manage data-center-scale GPU clusters.

“Run:ai has been a 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.

NVIDIA will continue to offer Run:ai’s products under the same business model for the immediate future. NVIDIA will continue to 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 for their AI workloads, particularly for large language model deployments. Run:ai’s solutions are integrated with NVIDIA DGX, NVIDIA DGX SuperPOD, NVIDIA Base Command, NGC containers, and NVIDIA AI Enterprise software, among other products.

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

Related News

Latest News

Latest News