According to media reports, Nvidia is in talks to acquire AI chip developer Groq in a deal valued at around $20 billion. If confirmed, the transaction would become the largest acquisition in Nvidia’s history, surpassing its 2019 purchase of Mellanox Technologies, which was valued at $6.9 billion. Groq is a semiconductor start-up founded by Jonathan Ross, a former Google engineer and one of the original architects behind Google’s Tensor Processing Units (TPUs).

The company focuses on AI inference chips, a fast-growing segment of the market dedicated to running trained artificial intelligence models efficiently and at high speed. Nvidia’s reported interest in Groq highlights the intensifying global competition for dominance in artificial intelligence hardware. While Nvidia continues to lead the market for AI training with its GPUs, inference has become increasingly strategic as AI applications expand across data centers, cloud services, and enterprise systems that demand low latency and energy efficiency.

So far, neither Nvidia nor Groq has officially confirmed the deal, and no details have been released regarding timing, structure, or regulatory considerations. Analysts note that a transaction of this magnitude would likely attract significant regulatory scrutiny, particularly amid growing concerns over market concentration within the technology sector.

If the acquisition were to move forward, it would significantly strengthen Nvidia’s AI ecosystem by adding specialized inference technology to its portfolio. Such a move would further consolidate Nvidia’s position across the entire AI hardware value chain, underscoring how advanced chip development has become a critical economic and strategic battleground in the global technology race.