AI Infrastructure Builder Cerebras Valued at $23 Billion in Latest Funding Round

Artificial intelligence (AI) infrastructure builder Cerebras announced a funding round Tuesday (Feb. 3) that nearly tripled its valuation from four months earlier.

The company raised $1 billion in a Series H funding round that valued it at $23 billion, Cerebras said in a Tuesday press release.

The round was led by Tiger Global, according to the release.

Cerebras said in the release that its AI infrastructure makes AI “blisteringly fast,” is used by corporations, research institutes and governments on four continents, and is available on-site or in the cloud.

The company’s Series H came just over four months after a Series G funding round that was announced Sept. 30, 2025, and raised $1.1 billion at an $8.1 billion valuation.

Cerebras said at the time in a press release that it would use the funds from the Series G to continue developing innovations in AI processor design, packaging, system design and AI supercomputers, as well as expanding its U.S. manufacturing capacity and U.S. data center capacity to keep up with demand for its products and services.

“From our inception we have been backed by the most knowledgeable investors in the industry,” Cerebras Co-Founder and CEO Andrew Feldman said in a September press release. “They have seen the historic opportunity that is AI and have chosen to invest in Cerebras.”

In January, OpenAI said it will integrate 750 megawatts of ultra-low latency compute from Cerebras to accelerate the response time of its AI models.

“Cerebras adds a dedicated low-latency inference solution to our platform,” Sachin Katti, compute infrastructure at OpenAI, said when announcing the deal. “That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people.”

Cerebras said in January that the rollout of the compute will add up to the world’s largest deployment of high-speed AI inference. The company added that large language models running on its AI processor deliver responses as much as 15 times faster than those using GPU-based systems.

“Just as broadband transformed the internet, real-time inference will transform AI, enabling entirely new ways to build and interact with AI models,” Feldman said in a January press release.