AI chip startup Etched has raised $700 million in a new funding round, pushing its valuation to $21 billion as investors continue to pour capital into companies building next-generation artificial intelligence infrastructure. The financing was led by quantitative trading firm Jane Street, with participation from existing investors including Kleiner Perkins, Sequoia, Andreessen Horowitz, Tiger Global, Bain Capital Ventures, Blackstone, and others.
The latest investment comes just weeks after Etched completed a $300 million fundraising round, more than doubling the company’s valuation in less than a month. The rapid increase reflects growing confidence in AI inference—the process of running trained AI models—which is emerging as one of the fastest-growing segments of the artificial intelligence market.
Founded in San Jose, California, Etched develops specialized AI chips and integrated “frontier inference clusters” designed to deliver faster and more energy-efficient AI inference than traditional graphics processing units (GPUs). Unlike general-purpose processors, the company’s hardware is purpose-built to accelerate transformer-based AI models, enabling customers to deploy large language models at lower operating costs.
Jane Street, the lead investor in the round, has also become Etched’s first commercial customer after deploying one of the company’s AI server racks in its data center. The partnership signals growing commercial interest in alternative AI hardware platforms beyond Nvidia, which currently dominates the AI accelerator market.
Etched said the new capital will be used to expand manufacturing capacity, accelerate product deployment, and fulfill more than $1 billion in existing customer contracts. The company has also expanded its engineering workforce to more than 400 employees while strengthening its manufacturing capabilities through facilities in Taiwan and California.
The funding round highlights a broader shift in investor sentiment toward AI infrastructure, particularly companies focused on inference computing. As enterprises deploy AI applications at scale, demand is increasing for chips that can process AI workloads more efficiently in terms of speed, cost, and power consumption. Analysts say this trend is creating opportunities for startups like Etched to challenge established semiconductor leaders with specialized hardware.
With fresh funding and a rapidly growing customer base, Etched is positioning itself as one of the most closely watched startups in the AI semiconductor industry, betting that purpose-built inference hardware will play a central role in the next phase of artificial intelligence adoption.
