Nvidia Invests $20 Billion in Groq to Expand AI Inference Capabilities

This article first appeared on GuruFocus.

Nvidia Corp. (NVDA, Financials) investing $20 billion in AI inference business Groq shows its desire to dominate the AI ecosystem. Groq may continue operating independently while Nvidia uses its inference tools thanks to its founder Jonathan Ross and several engineers.Nvidia’s planned diversification beyond AI training hardware is shown by the deal. Nvidia’s H100 and H200 GPUs fuel most large-scale model training, but the company is now targeting inference, which has a far larger and recurring revenue potential.Over 90% of the AI GPU market is Nvidia. Nvidia’s acquisition of Groq protects market dominance and adds software and service income streams while Alphabet, Amazon, and Microsoft construct their own inference processors to save costs.AI applications increase inference workloads considerably. AI token usage at major tech businesses increases every few months, fueling inference hardware and platform demand, say analysts. Beyond inference, Nvidia is entering networking, robotics, and government. Last quarter, networking sales surged 162% to $8.2 billion, while automotive and professional visualization grew double digits.Nvidia’s Strong Buy consensus has 39 Buys and one Hold rating with an average price target of $263.58, implying 40% upside over a year. To balance chip sales with long-term software, cloud, and inference revenue growth, Nvidia’s Groq acquisition boosts its full-stack AI platform transition.