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Dec. 30, 2024, 2:52 p.m.
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Nvidia Acquires Run:ai to Open-Source AI GPU Orchestration Software

Brief news summary

Nvidia has completed the purchase of Run:ai, a company specializing in GPU cloud orchestration for AI, for an estimated $700 million, though this hasn't been officially confirmed. Nvidia plans to make Run:ai's software open source, enhancing the management of GPU resources for AI cloud tasks. This move seems to be aimed at addressing antitrust concerns related to Nvidia's market dominance, similar to Microsoft's strategy during its Activision Blizzard acquisition. By open-sourcing, Nvidia could increase AI ecosystem accessibility and reduce regulatory pressures. Run:ai's founders support this initiative, viewing it as an opportunity to foster collaboration and extend software availability within the AI community. Founded in 2018 to innovate AI infrastructure, Run:ai remains dedicated to providing versatile solutions for AI teams. Nvidia and Run:ai have been partners since 2020, with Run:ai initially funded by TLV Partners, acknowledging the importance of efficient AI model training and deployment.

Nvidia has acquired Run:ai, a company that simplifies GPU cloud orchestration for AI, with plans to open-source the software. The deal, reportedly valued at $700 million, aims to enhance Nvidia's position in AI by allowing broader access to the platform, which currently supports only Nvidia GPUs. Open sourcing the software may help Nvidia address antitrust concerns, as seen with Microsoft’s similar move when acquiring Activision Blizzard. Run:ai founders Omri Geller and Ronen Dar emphasize that open sourcing will expand software availability and improve AI development.

Founded in 2018, Run:ai has worked with Nvidia since 2020, enabling efficient AI infrastructure orchestration. The company aims to advance the AI ecosystem by providing flexible, efficient GPU system solutions. TLV Partners, led by Rona Segev, supported Run:ai from the start, drawn by the founders' vision of a ubiquitous AI future and their innovative approach to improving AI model efficiency and cost. This acquisition aligns with Nvidia's ongoing emphasis on software development alongside its longstanding hardware expertise.


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