NVIDIA acquires GPU resource management tool developer Run:ai

On April 24, 2024, NVIDIA announced that it had acquired Run:ai, an Israeli startup that develops tools for optimizing and managing AI hardware.

NVIDIA to Acquire GPU Orchestration Software Provider Run:ai | NVIDIA Blog
https://blogs.nvidia.com/blog/runai/

Nvidia acquires AI workload management startup Run:ai for $700M, sources say | TechCrunch
https://techcrunch.com/2024/04/24/nvidia-acquires-ai-workload-management-startup-runai/

Tel Aviv-based Run:ai is a startup that is an AI infrastructure orchestration and management platform.

On April 24, NVIDIA announced that it has signed a definitive agreement to acquire Run:ai, a provider of Kubernetes- based workload management and orchestration software, to help customers more efficiently utilize AI computing resources.

To help customers make more efficient use of their #AI computing resources, we entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. https://t.co/tChKfOrj9P

— NVIDIA (@nvidia) April 24, 2024

Details of the acquisition have not been disclosed, but two sources told TechCrunch the deal was valued at $700 million.

Run:ai is one of NVIDIA's largest acquisitions since it bought Israeli semiconductor maker Mellanox for $6.9 billion in 2019, TechCrunch noted.

NVIDIA reportedly acquires Israeli semiconductor manufacturer for more than 655 billion yen, aiming for data center technology and customers - GIGAZINE

By BagoGames

NVIDIA said it plans to continue offering Run:ai products under the same business model for the time being. It also revealed plans to continue investing in Run:ai's product roadmap by integrating it into NVIDIA DGX Cloud , NVIDIA's cloud AI platform for enterprise developers.

With this acquisition of Run:ai, NVIDIA will provide the following capabilities and services to AI developers:
- A centralized interface for managing shared compute infrastructure.
- Ability to add users, curate them into teams, provide access to cluster resources, control quotas, priorities and pools, and monitor and report on resource usage.
- The ability to pool GPUs to share computing power.
Efficient utilization of GPU cluster resources to maximize return on computing investment.

'Run:ai has been working closely with NVIDIA since 2020 and shares our passion for helping customers get the most out of their infrastructure,' said Omri Geller, co-founder and CEO of Run:ai. 'We are excited to join NVIDIA and look forward to continuing our journey together.'