Sources say that Nvidia purchases Run:ai, an AI workload management startup, for $700 million.

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– Nvidia acquires Run:ai, a Tel Aviv-based company that helps manage and optimize AI hardware infrastructure for developers and operations teams
– The acquisition was for a reported price tag of $700 million, with a potential deal of upwards of $1 billion
– Run:ai will continue to operate under the same business model as part of Nvidia’s DGX Cloud AI platform, offering capabilities for generative AI deployments across multiple data center locations

Nvidia has acquired Tel Aviv-based company Run:ai, which helps developers and operations teams manage and optimize their AI hardware infrastructure. The deal, valued at $700 million, will see Run:ai’s products integrated into Nvidia’s DGX Cloud AI platform. Run:ai’s technology allows for AI models to be broken up and run in parallel across different hardware systems, including in public clouds or at the edge.

Run:ai, founded by Omri Geller, Ronen Dar, and professor Meir Feder, has established a large customer base of Fortune 500 companies and attracted significant investments from VCs. Other companies, such as Grid.ai, are also offering solutions for dynamic hardware allocation in AI workloads. Nvidia believes that by integrating Run:ai’s technology, customers will be able to make more efficient use of their AI computing resources.

The acquisition of Run:ai is seen as a strategic move by Nvidia to address the challenges faced by organizations in efficiently scaling their AI deployments. Managed and orchestrating various AI workloads requires advanced scheduling and optimization of performance, which Run:ai’s technology can provide. The goal is to give customers a single fabric that provides access to GPU solutions anywhere, and to support a broad ecosystem of third-party solutions. This acquisition is one of Nvidia’s largest since acquiring Mellanox in 2019 for $6.9 billion.

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