NVIDIA stock in focus: This is what the Groq deal is really about

• NVIDIA will pay $20 billion for Groq’s technology and key employees
• Deal is formally structured as a non-exclusive license agreement
• Groq CEO Jonathan Ross and President Sunny Madra move to NVIDIA

A deal that is not intended to be a takeover

On December 24, 2025, NVIDIA announced one of the largest deals in the company’s history: for around $20 billion in cash, the chip giant secured the technology and key employees of the AI ​​chip startup Groq. But formally it is not a takeover. Groq described the transaction in a statement as a “non-exclusive license agreement” for its inference technology. CEO Jonathan Ross, President Sunny Madra and other executives are moving to NVIDIA, while GroqCloud will continue to operate as an independent company under the leadership of CFO Simon Edwards.

As an EE Times analysis from January 7, 2026 shows, the announcement was deliberately placed on Christmas Eve, when markets closed early – apparently to allow time for the situation to come into play. In an email to employees obtained by CNBC, NVIDIA CEO Jensen Huang wrote that they plan to integrate Groq’s low-latency processors into the NVIDIA AI Factory architecture to serve a broader range of inference and real-time workloads. However, Huang specifically emphasized that NVIDIA is not acquiring Groq as a company, but is simply hiring talented employees and licensing Groq’s intellectual property.

Avoiding antitrust law: The strategy behind the structure

The chosen deal structure is reminiscent of similar transactions in the tech industry. Microsoft paid around $650 million to Inflection AI in early 2024 to hire founder Mustafa Suleyman and key employees without formally taking over the company. NVIDIA itself used this tactic back in September 2025, when it licensed the technology of networking chip startup Enfabrica for over $900 million and hired its CEO Rochan Sankar.

According to Bernstein analyst Stacy Rasgon, the structure is primarily intended to avoid antitrust scrutiny. As a CNBC report dated Dec. 26, 2025, Rasgon wrote that antitrust appears to be the primary risk, with structuring as a non-exclusive license serving to maintain the fiction of competition. Hedgeye Risk Management described the deal as an acquisition of Groq, without identifying it as such to avoid attracting regulators’ attention. Analysts at Cantor Fitzgerald saw NVIDIA on both offense and defense: The deal prevents Groq’s technology from falling into the hands of a competitor.

Why Groq is strategically important for NVIDIA

Groq was founded in 2016 by former Google engineers, including Jonathan Ross, who was instrumental in the development of Google’s Tensor Processing Unit (TPU). The startup developed so-called language processing units (LPUs) that are specifically optimized for AI inference. Unlike NVIDIA’s GPUs, Groq’s chips use SRAM instead of external HBM memory, which enables lower latencies but limits the size of the models that can be processed. Groq had positioned itself as a cheap alternative to NVIDIA and recently concluded deals with companies from the Gulf states and for sovereign AI infrastructure projects.

As EE Times reports, Huang clarified at CES 2026 on January 7 that Groq’s technology will not be part of NVIDIA’s main data center roadmap. The deal does not change the plans for the next GPU generations Vera Rubin. However, the technology could be used for real-time applications such as robotics – an area that NVIDIA calls “Physical AI” and sees as a huge future market. The $20 billion price tag – nearly triple the $6.9 billion valuation as of September 2025 – signals that the battle for the inference market has only just begun.

D. Maier / editorial team finanzen.net

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