NVIDIA to Acquire GPU Orchestration Software Provider Run:ai

NVIDIA to Acquire GPU Orchestration Software Provider Run:ai
Run:ai cofounders Omri Geller (left) and Ronen Dar (right)

NVIDIA has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. While the value of the terms of the deal has not been disclosed, Isreali newspaper, Calcalist estimated the value of the transaction at $700 million. The acquisition is set to enhance NVIDIA's AI technology capabilities and diversify its revenue streams, reflecting the company's commitment to expanding its offerings beyond chips to software.

Run:ai was founded in 2018 by Omri Geller and Ronen Dar. The company's platform simplifies the management and optimization of AI hardware infrastructure, enabling efficient use of computing resources across shared accelerated computing infrastructure. The platform provides a centralized interface for managing shared compute infrastructure, functionality for user and team management, access control, and resource monitoring. It also allows for pooling and sharing of GPU resources, enabling customers to gain more from their compute investments.

According to Omri Geller, Run:ai cofounder and CEO, "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. We're thrilled to join NVIDIA and look forward to continuing our journey together."

NVIDIA plans to maintain Run:ai's products under the same business model for the immediate future and invest in its product roadmap as part of NVIDIA DGX Cloud, an AI platform co-engineered with leading clouds for enterprise developers. NVIDIA DGX and DGX Cloud customers will gain access to Run:ai's capabilities for their AI workloads, particularly for large language model deployments.

The acquisition is expected to strengthen NVIDIA's position in the AI market, enabling 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.

As AI deployments become increasingly complex, with workloads distributed across cloud, edge, and on-premises data center infrastructure, the acquisition of Run:ai is a strategic move for NVIDIA to help customers make more efficient use of their AI computing resources. This acquisition reflects NVIDIA's commitment to expanding its offerings and staying at the forefront of the rapidly evolving AI landscape.

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