Groq, the startup known for designing its own AI inference chips, has raised $350 million in new funding at a $3.5 billion valuation. The money will speed up the company's shift from a pure chipmaker to a "neocloud" provider that rents out computing power to developers and businesses.
From chips to cloud
Groq built its reputation on custom silicon called LPUs, or language processing units, designed to run AI workloads faster and at lower cost than general-purpose chips. The company aimed to challenge Nvidia on inference, the computing needed to run trained AI models in real time.
But after losing key members of its chip team, Groq changed course. Instead of relying only on its own hardware, it now operates data centers that combine Nvidia GPUs with its own technology. The new funding supports "those seeking usage of medium and larger sized clusters of Nvidia accelerated computing for training and inference," the company said.
A growing footprint
Groq already runs 13 data centers across North America, Europe, the Middle East, and Asia Pacific, serving more than 6 million developers, enterprises, and AI-native companies. The company plans to scale its power capacity from 54 megawatts to more than 200 megawatts by 2027. In June, it raised a $650 million round to kick off the pivot; Nvidia is among the investors in the new financing.
The neocloud model has drawn wide interest as demand for AI compute outpaces supply. Startups in this space buy GPUs in bulk and resell access by the hour, offering an alternative to the big public clouds.
What the money means
For Groq, the raise is a bet that the market wants choice in where AI models run. The company keeps its inference chips in the mix, but it no longer depends on them alone. The extra capital gives it room to expand capacity while rivals pour billions into the same race. As AI workloads grow, so does the demand for fast, flexible compute, and Groq is positioning itself on both sides of that market.
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