Cerebras Systems raises $1 billion, valuation nearly triples to $23 billion in four months

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AI chipmaker Cerebras Systems secured $1 billion in a late-stage funding round led by Tiger Global, valuing the company at $23 billion—nearly triple its $8.1 billion valuation from September. The Nvidia-rival declined an acquisition approach and struck a commercial deal with OpenAI instead, positioning itself as a key independent player in AI infrastructure.

Cerebras Systems Secures $1 Billion in Funding Round

AI chipmaker Cerebras Systems raised $1 billion in a late-stage funding round that valued the Sunnyvale, California-based company at $23 billion, marking a dramatic escalation in investor confidence.

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The Series H financing was led by Tiger Global, with participation from Benchmark, Coatue, AMD, and 1789 Capital, a fund backed by Donald Trump Jr.

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Source: PYMNTS

Source: PYMNTS

The $23 billion valuation represents nearly triple the company's worth from just over four months ago. In September, Cerebras completed a Series G funding round that raised $1.1 billion at an $8.1 billion valuation.

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This rapid appreciation reflects the investor allure for companies positioned to become key players in the AI-chip supply chain alongside established giants.

AI Infrastructure Demand Drives Investment Surge

AI-linked companies continue to draw billions in private financing as corporations and governments race to develop data centers for supporting the still-nascent technology.

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The race has made AI chips required for computing power in these facilities a prized commodity, fueling Nvidia's meteoric rise to become the world's most valuable company.

Source: Reuters

Source: Reuters

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

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The company is known for its wafer-scale engine chips, designed to speed up AI model training and inference and compete directly with products from Nvidia and other AI chipmakers.

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OpenAI Partnership Strengthens Position as Nvidia-Rival

The funding round comes as key AI players actively seek to diversify their chip supplies. Reuters reported that OpenAI was seeking alternatives to Nvidia for AI inference chips, including Cerebras, AMD, and Groq.

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

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Cerebras said the rollout will add up to the world's largest deployment of high-speed AI inference, with large language models running on its AI processor delivering responses as much as 15 times faster than those using GPU-based systems.

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"Just as broadband transformed the internet, real-time inference will transform AI, enabling entirely new ways to build and interact with AI models," said Andrew Feldman, Cerebras co-founder and CEO.

Acquisition Declined, Independence Maintained

Amid OpenAI's reservations about Nvidia, the chip giant approached companies working on SRAM-heavy chips, including Cerebras and Groq, about a potential acquisition. Cerebras declined and struck a commercial deal with OpenAI instead, which was announced last month.

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That decision strengthens its positioning as an independent player in an increasingly concentrated market.

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Staying Private Amid Abundant Capital

The round marks Cerebras' first financing since it withdrew its U.S. IPO filing in October, underscoring a broader trend of companies staying private for longer with abundant capital available outside of public markets.

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In an environment where private capital remains plentiful, the company plans to continue growing while staying off public markets, in line with many AI-sector startups.

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Cerebras previously stated it would use funds to continue developing innovations in AI processor design, packaging, system design and 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.

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The fresh influx of capital underscores investors' sustained appetite for key players in AI infrastructure as the global race for computing capacity accelerates.

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