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Groq designs specialized chips and sells cloud access to them so companies can run AI models extremely fast.
Groq is an AI chip company that sells speed. When you ask an AI chatbot a question, the answer usually trickles out one word at a time because the computers behind it are built for training models, not for instantly serving them. Groq's bet is that a different kind of chip can spit out entire answers almost instantly, and that this speed is worth paying for. Customers — mostly developers and companies building AI products — rent access to Groq's chips through its cloud service rather than buying the hardware themselves. That rental business is the main way Groq makes money today.
The key technology is something Groq calls the Language Processing Unit, or LPU. Most AI work today happens on graphics chips, which are flexible but somewhat inefficient at the specific job of generating text one token at a time. Groq's chip is built from the ground up for exactly that job, with a design that keeps data moving in a predictable rhythm instead of constantly fetching from memory. The result, Groq claims, is dramatically faster responses. Groq doesn't manufacture the chips itself — it designs them and has them built by a foundry partner, then installs them in its own data centers. The company was founded in 2016 by Jonathan Ross, who had previously helped start Google's AI chip effort, the project that became the Tensor Processing Unit. For years Groq operated quietly, raising money and building its first hardware. It became widely known in early 2024 when it demonstrated open-source AI models running at blazing speeds, and millions of people tried the demo. Since then it has scaled up its cloud business and raised large sums from investors, making it one of the most closely watched private companies in AI.
Groq's strengths are speed and focus: it owns its entire stack, from chip design to the cloud service, so it can tune everything for latency. Its weaknesses are size and dependence on outsiders. It competes against giants like Nvidia, whose chips dominate AI computing, and against cloud providers such as Amazon and Microsoft that sell their own AI capacity. Groq also depends on foundries and memory suppliers to build its hardware, and on continued investor funding to expand. The whole business rests on a simple wager: that for many AI applications, being first to answer matters more than anything else.
Saved answer · last researched 4 Nov 2026