Nvidia has entered into a landmark agreement to license Groq’s AI inference technology on a non-exclusive basis, while also hiring founder-CEO Jonathan Ross, president Sunny Madra and key engineering talent. Reportedly valued at $20 billion—nearly three times Groq’s $6.9 billion valuation from its September financing—this “acqui-hire” simultaneously neutralizes a fast-growing rival in inference chips and brings high-performance LPUs into Nvidia’s product suite. Groq will continue to operate its cloud service under new leadership, but all future innovations in its inference architecture are expected to be driven within Nvidia’s R&D organization. By structuring the deal as a licensing and personnel agreement rather than an outright acquisition, Nvidia sidesteps potential antitrust scrutiny while reinforcing its dominance across both training and inference segments of the AI chip market.

Nvidia closed its third quarter with $57 billion in revenue—a 62% year-over-year increase—and maintained a 70% gross margin, underscoring its unrivaled position in AI hardware. The company’s balance sheet boasts over $40 billion in cash and marketable securities, enabling aggressive investments in technology partnerships, M&A and custom silicon development. With a market capitalization exceeding $4.6 trillion, Nvidia has outperformed broader indices and is on track for its best fiscal year since 2020 in terms of free cash flow generation. This financial strength not only underpins its ability to execute deals like Groq’s acqui-hire, but also secures long-term R&D leadership in GPU-accelerated computing, inference accelerators and software ecosystems critical to data center, automotive and edge AI applications.