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Nvidia to open source Run:ai, a program that raised $700M to help companies manage AI GPUs.


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Nvidia has completed the acquisition Run: you have ita software company that makes it easy for customers to create cloud GPUs for AI, and said that it will open the software.

The purchase price was not disclosed, but was linked to a reported $700 million when Nvidia first announced plans to close the deal in April. Run:ai posted the product news on its website today and the company said that Nvidia also wants to open source its software. The company’s software processes Nvidia GPU AI products in the cloud.

Neither company has explained why Run:ai will open source it, but it’s probably not hard to figure out. Since Nvidia has grown to become the No. That’s good for Nvidia, but it makes it harder for companies to acquire because of antitrust.

An Nvidia spokesperson simply said, “We are excited to welcome the Run:ai team to Nvidia.”

After Microsoft acquired Activision Blizzard for $68.7 billion, it appeased disbelieving regulators by licensing Activision’s Call of Duty games to other platforms for a decade to address concerns that the company would become too powerful in gaming. The same can happen here.

Run:ai founders Omri Geller and Ronen Dar said in a press release that open source software would help the community create better AI, faster.

“Although Run:ai only supports Nvidia GPUs, open source software will help expand the reach of the entire AI ecosystem,” said Geller and Dar.

He added that he will continue to help our customers get the most out of their AI Infrastructure and provide a flexible, efficient and scalable GPU environment, wherever they are: On-Prem, in the cloud through native solutions, or on Nvidia. DGX Cloud, powered by leading CSPs.

The founders also said, “In line with our open philosophy, as part of Nvidia, we will continue to empower AI teams with the freedom to choose the tools, platforms, and architectures that best suit their needs. We will continue to strengthen our partnership and work together with the ecosystem.”
offer a variety of AI solutions and platform choices. “

The Israeli-based company said its goal when it was founded in 2018 was to become a driving force in AI.
transforming and empowering organizations to unlock the full potential of AI.

“Over the years, our world-class team has been able to do important things that we could not have imagined at that time. We’ve both created a great technology, an amazing product, and an amazing go-to-market engine,” the founders said.

Run:ai helps customers optimize their AI Infrastructure, increase functionality and usability, and increase the productivity of their AI teams.

“We are happy to promote this, now as a part of Nvidia. AI and racing computers are changing the world very quickly, and we believe that this is just the beginning,” the founders of Run:ai said. “GPUs and AI will continue to be at the forefront of driving these innovations and joining Nvidia gives us the opportunity to continue working to help people solve the world’s biggest challenges.”

Nvidia has been developing tiny chips, and tiny chips have been instrumental in recent years in powering AI applications. Now the company is also focusing on software and this acquisition is related to giving customers more choice, efficiency and flexibility of GPU music software. Nvidia and Run:ai have been working together since 2020 and have mutually beneficial customers.

TLV Partners led the Run:ai seed in 2018. Rona Segev, CEO of TLV, said, “The AI ​​market at the beginning of 2018 seemed like a different world. OpenAI was still a research company and Nvidia’s market was ‘only’ about $ 100 billion We met with Omri and Ronen who painted a picture of what the future of AI could look like, AI was everywhere. “

Segev added that, “Everybody in the world will interact with AI every day, and it is clear that every company supports AI in one way or another. The only thing that prevented the vision from being realized, according to them, was the lack of urgency and money associated with AI studies and driving them into production at multiple levels To solve this problem, Omri and Ronen proposed to create an interface between AI models and GPUs that would help to make better use of the resources leading to faster training time and reduction. money.

And Segev said, “Of course, this was a fantasy at the time as they had not yet incorporated a company, let alone acquired a product. We did not know much about the company at that time. But there was something special about Omuri and Ronen. They had a special intelligence, charm, madness and humility that made the best way for founders who we are looking behind.”



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