NVIDIA today announced that it has finalized an acquisition agreement to acquire Run:ai, a supplier of workload management and orchestration software based on Kubernetes, to assist clients in making more effective use of their AI computing resources.
The complexity of customer AI implementations is rising as workloads are dispersed across on-premises, cloud, and edge data center infrastructure. Sophisticated scheduling is essential to efficiently manage workloads like recommender systems, search engines, and generative AI, optimizing system and infrastructure performance.
Enterprise clients can manage and optimize their compute infrastructure in hybrid settings, on-premises, or in the cloud with Run:ai.
The company has built an open platform using Kubernetes, serving as the orchestration layer for modern AI and cloud infrastructure. It integrates with third-party AI tools and frameworks and supports various Kubernetes versions.
Some of the biggest companies in the world, across several industries, are among Run:ai’s clients. They utilize the Run:ai platform to run GPU clusters the size of data centers.
Since 2020, Run:ai and Nvidia have worked closely together, the Santa Clara, California-based chipmaker said in a statement on Wednesday. Although the terms of the agreement were not disclosed, the Israeli daily Calcalist estimated that the purchase was worth US$700 million.
Calcalist reports that Nvidia employs over 20,000 people globally, with over 3,200 of those employees based in Israel. The report states that Israel is Nvidia’s second-most significant market, and the company has completed multiple additional transactions there.
As of right now, NVIDIA will still sell Run:ai’s goods using the same business strategy. In addition, NVIDIA will keep funding the Run:ai product roadmap as part of NVIDIA DGX Cloud, an AI platform that offers an integrated, full-stack solution that is tailored for generative AI and was co-engineered with top cloud providers for enterprise developers.
Users of NVIDIA DGX and DGX Cloud will now be able to utilize Run:ai’s capabilities for AI workloads, particularly for deployments of big language models. Several NVIDIA products, including NVIDIA DGX, NVIDIA DGX SuperPOD, NVIDIA Base Command, NGC containers, and NVIDIA AI Enterprise software, among other products.
NVIDIA’s accelerated computing platform, alongside Run:ai’s platform, will support a wide range of third-party solutions.
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