AI Chip Startup Etched Doubles Valuation to $21 Billion in Under a Month

Etched Raises $700 Million, Valuation Soars to $21 Billion

AI chip startup Etched announced a $700 million funding round led by Jane Street, doubling its valuation to $21 billion in under a month1

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. This marks a staggering trajectory for the San Jose-based company, which was valued at $5 billion in December and $10.3 billion just last month during its Series C round1

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. The funding round drew participation from Kleiner Perkins, Sequoia, Andreessen Horowitz, Tiger Global, Bain Capital Ventures, and other prominent investors2

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. Etched has now raised $1.9 billion to date2

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Jane Street Becomes First Customer After Testing AI Inference Hardware

Jane Street's decision to lead the funding round came after the trading firm tested and deployed Etched's AI inference systems in its own data center1

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. The company received its first rack last month and is now running production workloads on the hardware3

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. In a blog post announcing the investment, Jane Street stated: "We tested the chip and are pleased with the early results. Etched's unique approach to inference delivers the precision we will need to support our most demanding workloads"1

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. This validation from a major financial institution demonstrates real-world performance of Etched's technology. The startup has secured more than $1 billion in customer contracts across public and private AI companies and cloud providers2

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How Etched's Technology Tackles AI Inference Challenges

Etched builds frontier inference clusters designed to make AI models faster and cheaper to run1

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. Co-founder and COO Robert Wachen explained that the company developed two novel components from scratch to accelerate inference. The first is a low-voltage prefill chip that operates at under half the voltage of most AI accelerators, allowing it to pack in more transistors without typical heat problems1

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. This enables faster token processing during the compute-intensive prefill phase, where AI models must understand prompts and context1

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. The second innovation is cluster-scale memory, a hybrid memory subsystem that creates a massive shared memory pool across an entire cluster rather than a single chip3

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. According to the Wall Street Journal, this interconnect can complete communications tasks in 700 milliseconds that take rival chips 4,000 milliseconds4

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Challenging Nvidia's Dominance in the AI Chip Market

Etched joins a growing group of startups seeking to challenge Nvidia's dominance in the AI chip market3

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. The company has reportedly been recruiting aggressively from Nvidia, with around 15% of its 400-person team previously working at the tech giant3

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. Founded in 2022 by Harvard Thiel fellows Gavin Uberti, Robert Wachen, and Chris Zhu, Etched emerged from stealth in June this year3

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. The startup's first prototype chip rolled off a TSMC production line earlier this year4

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. Kleiner Perkins Managing Partner Mamoon Hamid noted: "Inference is becoming one of the most important infrastructure markets in AI, and the winners will be measured by tokens per dollar and per watt"5

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What This Means for AI Infrastructure and Future Growth

The rapid valuation increase reflects surging demand for specialized AI inference hardware as more organizations deploy large language models and transformer architectures at scale5

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. However, skepticism remains about whether technical prowess will translate into business success. Michael Ashley Schulman, partner at Cerity Partners, cautioned: "Etched has impressive technology and serious customer interest, but semiconductor history is littered with brilliant chips that never became great businesses"5

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. CEO Gavin Uberti acknowledged the challenges ahead, stating: "It took us three years to deliver our first rack from scratch. Our next one will be much faster"4

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. As Etched scales to gigawatt-scale operations, the company faces new hurdles including building factories, establishing global supply chains, and developing fleet software3

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. The startup's ability to execute on production and maintain its technological edge will determine whether it can sustain its meteoric rise in the competitive semiconductor market.