Groq Raises $650M for Cloud Service Despite Nvidia Deal

Groq is raising $650 million from its existing investors to develop its cloud model inference service. This funding comes exactly six months after an unusual deal with Nvidia, which paid its investors $20 billion, hired several key engineers, and licensed Groq's technology.

Nvidia's Deal: Not an Acqui-Hire, But Something New

In December, Nvidia made an unusual move. Rather than fully acquiring Groq, the company paid its investors $20 billion in cash—a way to reward them for their investments. At the same time, Nvidia hired several senior engineers from Groq and licensed their hardware technology. The rest of the team remained to work at the startup.

Usually, such a scenario kills a company. Losing the best people means the end of the project. But investors decided to continue funding Groq's cloud direction. Apparently, they saw value in it even without parts of the original team.

Why Cloud Is Worth the Money

The market for cloud model inference is growing rapidly. Companies are looking for places where they can run large models cheaply and quickly. Over years of development, Groq accumulated expertise and clients. Even weakened, the startup retained a valuable asset—infrastructure and know-how. $650 million is enough to hire new top-level engineers, expand the cloud service, and compete with Together AI and other players. This should be sufficient for 2-3 years of independent development.

A New Model for Large Companies

The Groq story shows the changing strategy of players like Nvidia. Instead of fully acquiring startups, they now often prefer selective hiring and licensing of technology. This gives them talent without the burden of integrating an entire company.

"This is a new way for corporations to work with innovation," a logic that major AI companies are following in 2026. For investors, it's a good deal—they get cash. For startups, it's a test: you need steel will and the right business focus to survive.

What This Means

Groq is trying to prove that the cloud business can survive and grow even after losing part of the team. If successful, it will signal to other startups that the right focus and a growing market can survive personnel upheaval. It also shows how valuable cloud model inference has become in the eyes of investors and major companies.