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Etched Raises $800 Million and Signs $1 Billion in Customer Contracts

aiai-infrastructureai-compute-chipsai-fundraising 19 posts · 17 accounts

AI chip startup Etched has raised $800 million and secured more than $1 billion in signed customer contracts, according to a Bloomberg report. The company emerged from stealth on June 30 and plans to ship its first computing racks this summer following a successful initial chip tapeout. Founded by Harvard dropouts Gavin Uberti and Robert Wachen, Etched attracted backing from major investors including Jane Street and a venture firm linked to TSMC.

From the sources (19 posts)

@kimmonismus

Etched is coming out of stealth with $800M raised, $1B+ in customer contracts, first racks shipping this summer, and claims of SOTA inference throughput, latency, and power efficiency. But holy, look who backed the funding. The who-is-who

@patrick_oshag

Three years ago, two Harvard dropouts set out to build a better AI chip than the largest companies in the world. Almost everyone I called at the time said it was impossible. Today, Etched (@Etched) comes out of stealth with $800M total r

@lpolovets

RT @patrick_oshag: Three years ago, two Harvard dropouts set out to build a better AI chip than the largest companies in the world. Almos…

@mtslive

SITUATION DETECTED: Etched, a startup building custom AI inference chips, has emerged from stealth, announcing $1B+ in customer contracts and $800M raised after a successful chip tapeout.

@techmeme

AI chip startup Etched says it has raised $800M from investors including Jane Street and a venture firm linked to TSMC, and has signed sales contracts worth $1B (@dinabass / Bloomberg) (Visit Techmeme dot com for the link and full context!

@edludlow

RT @business: AI chip startup Etched says it has raise $800 million and has $1 billion in sales contracts.

@stevehou

👀

@brendanfoody

@UbertiGavin, @robertwachen, and @czhu1729 are some of the best founders in Silicon Valley. Excited to start using @Etched chips this summer 🎉

@jasonrshuman

This company is going to put a dent in the universe. Off the charts performance. Insane time to market. Eye popping customer demand. World-Class Team.

@ml_hardware

RT @Etched: We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m…

@tri_dao

It's wild how quickly Etched designed and got the chips out, all within 2 years. They went deep, hardcoding attention into silicon and getting very high MFU. This kind of hardware tailored made for LLM inference is soon gonna bring cost of

@millionint

Chips are a substrate for computation that the layer of intelligence we're all building relies on. Like every layer of the stack, it requires dedication, hard work, taking risks and innovating. Etched Sohu has all those in spades and I'm

@aiexplainedyt

I remember saying on the channel, in Dec 2023, 'if Etched take over the world, you heard it here first.' They do seem to be somewhat on their way.

@juberti

The world needs faster and cheaper inference compute, and it's amazing to see Etched releasing their 10x solution. Great work @UbertiGavin and team!!!

@mathemagic1an

Been watching demos of Etched for years now and still blows me away every time Crazy ambitious strategy to scale inference. Cluster-scale memory w/ latency of SRAM but cheap like HBM. Proud to be a backer of these guys, absolute rocketshi

@mattshumer_

Nvidia is worth $5T because the world realized inference is the new oil. If Etched’s chips are meaningfully better than Nvidia’s for inference… What is Etched worth? This is a worldview-shattering event.

@mattshumer_

I’m a very early investor in Etched, as I’ve believed for years that inference will be the biggest market we’ve ever seen. Incredibly impressed by the team’s execution and so excited to use models powered by their hardware!

@himanshustwts

new ai inference hardware company, just dropped!

@mattshumer_

Nvidia has some serious competition coming their way.

Preview built on a synthetic news corpus (16 weeks, Apr–Jul 2026). Impact calls are model reads, not price data.

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