Nvidia signs $20 billion deal with Groq for AI tech

Nvidia has made waves in the AI world with a complex $20 billion agreement with AI chip startup Groq, marking the chip giant’s largest deal to date. Unlike a traditional acquisition, Nvidia will license Groq’s AI inference technology while hiring key executives, including founder Jonathan Ross and president Sunny Madra, as Groq continues to operate independently. This arrangement highlights a growing Silicon Valley trend in which major tech companies selectively acquire intellectual property and top talent without fully integrating startups.

While CNBC reported the deal’s $20 billion valuation, neither Nvidia nor Groq confirmed financial terms. Nvidia CEO Jensen Huang clarified that the company is “adding talented employees to our ranks and licensing Groq’s IP, but we are not acquiring Groq as a company.” Groq described the transaction as a “non-exclusive licensing agreement” for its inference technology. The startup’s cloud business will remain under the leadership of new CEO Simon Edwards, formerly Groq’s CFO.

Increasing competition

The deal strategically targets AI inference — the process where trained models respond to user queries — a sector where Nvidia faces increasing competition. Groq’s Language Processing Unit reportedly executes large language models ten times faster while consuming one-tenth the energy of traditional GPUs. With Jonathan Ross, who previously helped develop Google’s Tensor Processing Unit, joining Nvidia, the company strengthens its expertise across the AI stack. Huang confirmed plans to integrate Groq’s low-latency processors into Nvidia’s AI factory architecture, expanding its capabilities for real-time AI workloads.

This $20 billion deal eclipses Nvidia’s previous largest acquisition, the $6.9 billion purchase of Mellanox in 2019. Groq itself raised $750 million in September at a $6.9 billion valuation, with investors including BlackRock, Samsung, Cisco, and 1789 Capital. The arrangement also reflects a broader shift in Silicon Valley: companies like Google, Amazon, and Microsoft have increasingly opted for “acqui-hire” deals that license technology and recruit founders while leaving the original companies structurally intact.

With more than $60 billion in cash reserves, Nvidia is clearly doubling down on its aggressive expansion strategy across the AI ecosystem. By combining top-tier talent, breakthrough technology, and strategic IP licensing, Nvidia is positioning itself to dominate the AI inference market and maintain its leadership in the global AI race.