Latest Posts

Nvidia Releases $700 Million to Purchase Run:ai, an AI Workload Management Startup

Nvidia has just made a significant impact in the world of artificial intelligence. Indeed, the American graphics processor giant announced the acquisition of Run:ai, an Israeli startup specializing in the management and optimization of hardware infrastructures for AI. According to a reliable source, the deal is valued at approximately $700 million.

Please follow us on Twitter and Facebook.

Run:ai, a Technological Gem That Seduced Nvidia

Omri Geller and Ronen Dar founded Run:ai in 2018, developing an innovative platform based on Kubernetes, an open-source container orchestration system. This solution enables businesses to effectively manage and optimize their computing infrastructures, whether on-premises, in the cloud, or in hybrid environments. With its advanced algorithms, Run:ai offers dynamic GPU resource allocation, intelligent pooling, and granular management of AI workloads.

Furthermore, Run:ai’s technology quickly attracted big names in the industry, including financial institutions such as BNY Mellon and Crédit Agricole. The same holds true for electronics giant Sony and promising startups such as For your information, before its acquisition, the Israeli company had raised $118 million from renowned investors like Tiger Global Management and Insight Partners.

Read Also: NVIDIA Co-founder Backs Supercomputer for AI Research: US Supplies Hardware But China and Iran has Experts

A Strategic Acquisition to Boost Nvidia’s AI Ecosystem

Nvidia Acquires Run ai for $700M, Boosting AI Infrastructure (1)

For Nvidia, this acquisition is part of a global strategy aimed at strengthening its leadership in the market for hardware and software infrastructures for AI.

As Alexis Bjorlin, vice president of DGX Cloud at Nvidia, points out, AI deployments are becoming increasingly complex. They involve workloads distributed between the cloud, the edge, and on-premises data centers. In this context, Run:ai’s solutions will enable Nvidia customers to manage and optimize their computing resources more efficiently.

Moreover, the assimilation of Run:ai into the Nvidia ecosystem will occur incrementally. Initially, Nvidia intends to maintain Run:ai’s products under their existing business model. Concurrently, the company under the leadership of Jensen Huang plans to allocate resources toward enhancing the startup’s product roadmap to seamlessly integrate it into the DGX Cloud platform, which is specifically tailored for generative AI applications.

In the end, customers utilizing DGX Server and DGX Cloud services will reap the advantages of Run:ai’s functionalities for their AI tasks, especially for deploying large language models.

Read Also: NVIDIA Unveils New Tool Allowing Users to Create Their Own ChatGPT and Run It From Their PC

Towards a Democratization of AI For Companies of All Sizes

The acquisition of Run:ai by Nvidia is also part of an underlying trend: the democratization of AI among companies of all sizes. As Omri Geller, CEO of Run:ai, points out, his startup’s platform was designed to allow organizations to offer GPU computing on demand. This helps customers launch new AI applications quickly and easily, regardless of the size of their business.

Nvidia’s commitment to inclusivity aligns with its overarching vision of democratizing AI accessibility. By leveraging the combined strengths of Nvidia and Run:ai technologies, customers can anticipate enhanced GPU utilization, refined infrastructure management, and increased flexibility facilitated by an open architecture.

Source: TechCrunch

Latest Posts

Don't Miss