
What happened
Etched, founded by three Harvard dropouts in 2022, closed a $300 million(約480億円) Series C funding round at a $10.3 billion(約1.6兆円) valuation, led by Sequoia and backed by Andreessen Horowitz, SK Hynix, Jane Street, and Diffusion Capital. The company has doubled its valuation in about seven months since a $500 million(約800億円) round valued it at $5 billion(約8000億円) in December.
Why it matters
Etched designed custom chips specifically for AI inference — the computing process after a user submits a prompt — creating two novel components to speed up the two-stage inference process (prefill and decode). The company has already booked $1 billion(約1600億円) worth of orders and is working with some of the largest AI companies in the world, validating an approach that skeptics once considered far-fetched.
What to watch
Access to Etched's systems has been limited to investors and early customers so far; the company must now scale mass production and delivery of its rack systems. Sequoia's Series C is described as the highest valuation ever for a Sequoia-led Series C round.
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Etched's journey reflects a broader shift in how the tech industry approaches AI infrastructure. When the three Harvard dropouts founded the company in 2022, the notion of designing chips specifically for transformer-based AI models was considered risky — most of the tech world, besides Nvidia, had not yet grasped the specialized compute demands of modern AI. The startup faced sustained skepticism, yet the founders persisted through manufacturing challenges and a slow path to market validation.
The company's recent milestones suggest that skepticism has given way to confidence among sophisticated investors and AI builders. Etched's claim that its systems can run any AI architecture — not just transformers, but also Mixture of Experts models like DeepSeek and Qwen, as well as state-space models like Mamba — directly addresses an early criticism that its chips were too specialized. The $1 billion(約1600億円) in booked orders and partnership with major AI companies indicate genuine demand. That Andrej Karpathy, Noam Brown from OpenAI, and Geoffrey Hinton tried the hardware in person and became investors underscores the role of hands-on demonstration in winning over the AI research community.
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