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Benchmark Raises $225M in Special Funds to Double Down on Cerebras

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Venture capital firm Benchmark has raised $225 million through two special funds, 'Benchmark Infrastructure,' to significantly increase its investment in AI chipmaker Cerebras Systems. This move follows Cerebras' recent $1 billion funding round at a $23 billion valuation.

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Benchmark 設立專項基金籌集 2.25 億美元,加碼投資 Cerebras

Techcrunch
22 天前

AI 生成摘要

創投公司 Benchmark 透過兩檔名為「Benchmark Infrastructure」的專項基金籌集了 2.25 億美元,以大幅增加對 AI 晶片製造商 Cerebras Systems 的投資。此舉跟隨 Cerebras 最近以 230 億美元估值完成的 10 億美元融資回合。

Benchmark raises $225M in special funds to double down on Cerebras | TechCrunch

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Benchmark raises $225M in special funds to double down on Cerebras

This week, AI chipmaker Cerebras Systems announced that it raised $1 billion in fresh capital at a valuation of $23 billion — a nearly threefold increase from the $8.1 billion valuation the Nvidia rival had reached just six months earlier.

While the round was led by Tiger Global, a huge part of the new capital came from one of the company’s earliest backers: Benchmark Capital. The prominent Silicon Valley firm invested at least $225 million in Cerebras’ latest round, according to a person familiar with the deal.

Benchmark first bet on 10-year-old Cerebras when it led the startup’s $27 million Series A in 2016. Since Benchmark deliberately keeps its funds under $450 million, the firm raised two separate vehicles, both called ‘Benchmark Infrastructure,’ according to regulatory filings. According to the person familiar with the deal, these vehicles were created specifically to fund the Cerebras investment.

Benchmark declined to comment.

What sets Cerebras apart is the sheer physical scale of its processors. The company’s Wafer Scale Engine, its flagship chip announced in 2024, measures approximately 8.5 inches on each side and packs 4 trillion transistors into a single piece of silicon. To put that in perspective, the chip is manufactured from nearly an entire 300-millimeter silicon wafer, the circular discs that serve as the foundation for all semiconductor production. Traditional chips are thumbnail-sized fragments cut from these wafers; Cerebras instead uses almost the whole circle.

This architecture delivers 900,000 specialized cores working in parallel, allowing the system to process AI calculations without shuffling data between multiple separate chips (a major bottleneck in conventional GPU clusters). The company says the design enables AI inference tasks to run more than 20 times faster than competing systems.

The funding comes as Cerebras, based in Sunnyvale, Calif., gains momentum in the AI infrastructure race. Last month, Cerebras signed a multi-year agreement worth more than $10 billion to provide 750 megawatts of computing power to OpenAI. The partnership, which extends through 2028, aims to help OpenAI deliver faster response times for complex AI queries. (OpenAI CEO Sam Altman is also an investor in Cerebras.)

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Cerebras claims its systems, built with its proprietary chips designed for AI use, are faster than Nvidia’s chips.

The company’s path to going public has been complicated by its relationship with G42, a UAE-based AI firm that accounted for 87% of Cerebras’ revenue as of the first half of 2024. G42’s historical ties to Chinese technology companies triggered a national security review by the Committee on Foreign Investment in the United States, bumping back Cerebras’ initial IPO plans and even prompting the outfit to withdraw an earlier filing in early 2025. By late last year, G42 had been removed from Cerebras’ investor list, clearing the way for a fresh IPO attempt.

Cerebras is now preparing for a public debut in the second quarter of 2026, according to Reuters.

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Reporter, Venture

Marina Temkin is a venture capital and startups reporter at TechCrunch. Prior to joining TechCrunch, she wrote about VC for PitchBook and Venture Capital Journal. Earlier in her career, Marina was a financial analyst and earned a CFA charterholder designation.

You can contact or verify outreach from Marina by emailing [email protected] or via encrypted message at +1 347-683-3909 on Signal.

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