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Nvidia has agreed to license Groq's AI inference technology and hire executives in a deal reportedly valued at $20 billion, as Groq expands its LPU-based
Nvidia has become an investor in Groq, an artificial intelligence (AI) company that develops an AI accelerator application-specific integrated circuit (ASIC) known as a Language Processing Unit (LPU) [1]. In December 2025, Nvidia and Groq announced an agreement reportedly valued at approximately $20 billion to license Groq's AI inference technology and transfer several senior Groq executives to Nvidia [1]. Groq stated it would continue to operate as an independent company [1].
Key takeaways
Groq was founded in 2016 by a team of former Google engineers, including Jonathan Ross, a designer of Google's Tensor Processing Unit (TPU) [1]. The company's core product is its LPU, initially called the Tensor Streaming Processor (TSP), which was rebranded to reflect its focus on large language models (LLMs) [1]. The LPU features a functionally sliced microarchitecture designed to improve execution performance and efficiency for AI workloads by exploiting dataflow locality [1]. It uses a single-core, deterministic architecture that avoids traditional reactive hardware components like branch predictors and caches, with execution explicitly controlled by the compiler [1].
Groq has seen significant investment and expansion. In April 2021, it raised $300 million in a Series C round, making it a unicorn with a valuation over $1 billion [1]. By August 2024, a Series D round led by BlackRock Private Equity Partners raised $640 million, valuing the company at $2.8 billion [1]. The company has also expanded its manufacturing and global presence, selecting Samsung Electronics' foundry in Taylor, Texas, to produce its next-generation 4-nanometer chips [1]. As of 2025, Groq has established a dozen data centers across the U.S., Canada, the Middle East, and Europe [1]. In February 2025, Groq announced a $1.5 billion commitment from the Kingdom of Saudi Arabia to expand its LPU-based AI inference infrastructure, including a new GroqCloud data center in Dammam [1].
The agreement between Nvidia and Groq, reportedly valued at $20 billion, highlights the increasing competition and strategic investments in the AI chip market [1]. While Groq stated it would remain an independent company, the deal involves Nvidia licensing Groq's AI inference technology and bringing Groq's founder and president into Nvidia [1]. This development occurs as other AI startups also attract significant investor attention. For example, Axiom, a startup founded by a Stanford math PhD student, is raising $50 million at a valuation between $300 million and $500 million, aiming to develop AI for complex math problems in quantitative finance [2]. Groq's technology, particularly its LPU, is designed to accelerate AI inference, which is crucial for running large language models and other AI workloads efficiently [1].
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