Jonathan Ross, chief executive officer of Groq Inc., during the GenAI Summit in San Francisco, California, US, on Thursday, May 30, 2024.
Nvidia has agreed to buy assets from Groq, a designer of high-performance artificial intelligence accelerator chips, for $20 billion in cash, according to Alex Davis, CEO of Disruptive, which led the startup's latest financing round in September.
Davis, whose firm has invested more than half a billion dollars in Groq since the company was founded in 2016, said the deal came together quickly. Groq raised $750 million at a valuation of about $6.9 billion three months ago. Investors in the round included Blackrock and Neuberger Berman, as well as Samsung, Cisco , Altimeter and 1789 Capital, where Donald Trump Jr. is a partner.
Groq said in a blog post on Wednesday that it's "entered into a non-exclusive licensing agreement with Nvidia for Groq's inference technology," without disclosing a price. With the deal, Groq founder and CEO Jonathan Ross along with Sunny Madra, the company's president, and other senior leaders "will join Nvidia to help advance and scale the licensed technology," the post said.
Groq added that it will continue as an "independent company," led by finance chief Simon Edwards as CEO.
Colette Kress, Nvidia's CFO, declined comment on the transaction.
Davis told CNBC that Nvidia is getting all of Groq's assets, though its nascent Groq cloud business is not part of the transaction. Groq said, "GroqCloud will continue to operate without interruption."
The deal represents by far Nvidia's largest purchase ever. The chipmaker's biggest acquisition to date came in 2019, when it bought Israeli chip designer Mellanox for close to $7 billion. At the end of October, Nvidia had $60.6 billion in cash and short-term investments, up from $13.3 billion in early 2023.
In an email to employees that was obtained by CNBC, Nvidia CEO Jensen Huang said the agreement will expand Nvidia's capabilities.
"We plan to integrate Groq's low-latency processors into the NVIDIA AI factory architecture, extending the platform to serve an even broader range of AI inference and real-time workloads," Huang wrote.
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