Nvidia continues to consolidate its position as a leader in the artificial intelligence sector,announcing today an agreement to bring on the leadership team from rival chipmaker Groq. While a full acquisition was initially reported, sources close to the deal confirm this move is an “acqui-hire,” focused on talent acquisition rather than a company takeover. The move signals a strategic focus on bolstering nvidia’s expertise in specialized AI processing as competition intensifies in the rapidly evolving technology landscape.
Nvidia is set to acquire the leadership team from Groq, a competitor specializing in processors designed for generative artificial intelligence (AI), following a licensing agreement between the two companies, the companies announced Wednesday, December 24. Groq should not be confused with Grok, the AI interface from xAI, a company controlled by Elon Musk.
The announcement came shortly after CNBC reported that an investor in Groq stated the California-based startup would be acquired for $20 billion. Both companies declined to comment beyond Groq’s initial release when contacted by the Associated Press. “Nvidia is not acquiring Groq,” a source close to the deal told the AP, contradicting Disruptive Capital’s Alex Davis, as cited by CNBC.
Groq CEO and co-founder Jonathan Ross, along with President Sunny Madra, “and other team members,” will be joining Nvidia, the company revealed in its brief statement. This move is akin to an “acqui-hire,” a practice gaining traction in the tech sector where a company primarily acquires talent from another.
The strategy involves bringing on key personnel from a target company, and sometimes securing access to their technology. It often involves a minority stake, but avoids the substantial costs associated with a full acquisition.
Regulatory Hurdles Unlikely
Acqui-hires offer several advantages for companies seeking acquisitions. They avoid the need for full control and the potential for regulatory rejection based on competition concerns. They also sidestep the significant expenses of buying out existing investors in a complete takeover.
Meta employed a similar approach in June with Scale AI, a data labeling specialist for AI, taking a 49% stake and bringing CEO Alexandr Wang onboard.
Founded in 2016, Groq developed chips called LPUs (language processing units) specifically designed for AI generative inference, with a focus on efficiency, particularly in energy consumption. This specialization contrasts with Nvidia’s broader approach, offering products adaptable to various use cases, including the development of AI models before deployment.
“Nvidia and [CEO] Jensen Huang are like Michael Jordan, the greatest basketball player of all time,” Groq CEO Jonathan Ross told the AP in 2024. “But inference is like baseball. And when Michael Jordan tried baseball, he wasn’t very good.”
