College dropouts raise $120 million to take on Nvidia’s AI chips
Etched co-founders Robert Watchen, Gavin Uberti, and Chris Zhu
Etched
Nvidia has been the hottest story on Wall Street of late, increasing eightfold in value since the end of 2022 and soaring past $3 trillion in market cap this month.
A 2-year-old startup founded by Harvard dropouts has just raised $120 million in venture funding to try and build a competitive chip and take on Nvidia in artificial intelligence.
Headquartered in Cupertino, California — home to Apple — Etched is developing a chip called Sohu, which the company says will be used to train and deploy AI models using “transformers,” the core architecture underpinning advancements like OpenAI’s ChatGPT.
Co-founder and CEO Gavin Uberti said that as AI develops, most of the technology’s power-hungry computing requirements will be filled by customized, hard-wired chips called ASICs. Their efficiency comes in executing only the AI model they were designed to perform, in contrast to general purpose graphics processing units (GPUs) from Nvidia that are more capable but are also much costlier.
“We’re making the biggest bet in AI,” Uberti said in an interview. “If transformers go away, we’ll die. But if they stick around, we’re the biggest company of all time.”
Uberti and his co-founders are aware that it’s a high-risk wager, and that they’re going up against some of the most richly capitalized and competitive companies on the planet. While $120 million is a lot of money to raise in a series A, it’s about how much Nvidia generates in revenue in half a day. Nvidia’s sales have more than tripled annually for three consecutive quarters, topping $26 billion in the latest period.
Nvidia has more than 80% of the market share for AI chips, according to estimates. Etched is among a group of startups attracting capital to go after the burgeoning opportunity. Primary Venture Partners led the round. Peter Thiel, Stanley Druckenmiller and Cruise founder Kyle Vogt are also backers.
Despite Nvidia’s head start and, what some developers describe a moat, new chipmakers are plowing ahead anyway, mainly because the opportunity is so big. Other chip startups taking on Nvidia include Cerebras Systems, which is building a physically larger AI chip, and Tenstorrent, which is using a trendy technology called RISC-V to build AI chips.
“The reason we were so excited about what we’re doing, why we dropped out of school and we’ve convinced so many people to leave these chip projects — this is the most important thing to be working on,” said Robert Wachen, Etched’s operating chief. “The entire future of technology is going to be shaped by whether the infrastructure can handle the scale.”
Semiconductors have traditionally been one of the hardest industries for startups given the long development cycles, the significant capital required to build a chip and the need to engage with a limited number of manufacturing partners, such as Taiwan Semiconductor Manufacturing Co., which is building Etched’s chip.
Venture capitalists invested $6 billion in AI semiconductor companies in 2023, up slightly from $5.7 billion in 2022, according to data from PitchBook.
Hard coded
Etched’s Sohu chip
Uberti and Chris Zhu started to work on a chip company after Uberti did a summer internship working on compliers. That put him in contact with the low-level hardware ideas that led to Etched.
The pair dropped out of Harvard in 2022, and added Uberti’s college roommate, Wachen. They quickly started hiring chip industry veterans. The company settled in Cupertino, and now has 35 employees. It offers housing stipends to new hires.
“When ChatGPT came out, and Nvidia stock exploded, and especially when every other model coming out would be a transformer too, we found ourselves in the right place at the right time,” Uberti said.
Etched is preparing to bring Sohu to market, and the founders say they’ll be ready to show something later this year. The startup is also working to secure customers and says that technology companies are eager to check out new AI chips.
For the business to work, companies that are spending billions of dollars on GPUs will need to see some significant savings in building custom chips designed for their specific AI model and be willing to make trade-offs in flexibility.
By specializing on transformers, which moves data in predictable ways from the chip to memory, Etched’s Sohu chip can dedicate less space to memory and more to the kinds of transistors that define a chip’s raw computing power, Uberti said.
Another aspect of Eteched’s efficiency is that the chip has one large core. That results in fewer inefficient calculations done by a part called a streaming multiprocessor to coordinate calculations by different cores.
Uberti says the impact of specialized AI chips could be similar to how custom chips called ASICs, first introduced in 2013 specifically for mining bitcoin or ether, reduced the demand for Nvidia GPUs.
The Etched founders expect the need for chips to run these models will increase, especially once they’re used to serve AI software millions of times per minute.
They also say that by hard coding the AI architecture into the chip, their device can reduce the latency of returning answers, unlocking new use cases, such as AI agents or real-time voice conversations. Etched says its chips are more than 10 times faster than Nvidia’s GPUs, thanks to its simpler architecture and single use case.
But Etched is taking on some of the most valuable companies in the world, including Nvidia, which have massive development teams and access to the capital needed to secure production and improve their chips on an annual basis.
Etched, which has a countdown timer displayed in its headquarters, has to move faster.
“The way that we’re going to win this specialized AI chip market, and the ones after this, is by being the first product to market,” Uberti said.
Meta CEO Mark Zuckerberg looks on before the luncheon on the inauguration day of U.S. President Donald Trump’s second Presidential term in Washington, U.S., Jan. 20, 2025.
Evelyn Hockstein | Reuters
Mark Zuckerberg’s plan is to make Meta the market leader in artificial intelligence. Investors will want to know how President Donald Trump’s tariffs-heavy trade policies will impact that strategy.
Those answers could start to come as soon as this week as Meta’s AI strategy takes center stage when the company hosts its first Llama-branded conference for AI developers on Tuesday then reports its latest quarterly earnings the next day.
Already, tech companies are starting to talk about the potential impact they’re bracing for as a result of the Trump tariffs.
Intel Chief Financial Officer David Zinsner said Thursday during the chip giant’s first-quarter earnings call that U.S. trade policies “have increased the chance of an economic slowdown, with the probability of a recession growing.” Meanwhile, Google CFO Anat Ashkenazi said that day during a first-quarter earnings call that the tech giant remains committed to its $75 billion investment in capital expenditures, or capex, this year, but also acknowledged that the “timing of deliveries and construction schedules” could cause some quarter-to-quarter spending fluctuation.
For now, analysts expect Meta to follow Alphabet’s lead and remain firm in its plan to spend as much as $65 billion in capex for AI infrastructure this year when it reports earnings Wednesday. Some analysts believe Meta could even raise the figure because AI is a core priority for the company.
“We do not expect META to cut its CapX guidance of $60B-$65B in 2025, for its GenAI infrastructure, because they see this as an important 10-year investment, we believe,” Needham analysts wrote in a research note published Wednesday. “However, tariffs add risks of upward cost revisions.”
Investors will also be monitoring Meta’s LlamaCon event at its Menlo Park, California, headquarters for any signs that its AI investments are having an immediate business impact. This will be the first time Meta hosts a developer conference specifically for its Llama family of AI models.
“Investors want to see ROI on all these AI investments, and while Meta has shown clear benefits from leveraging AI to improve its products and drive faster revenue growth, it’s been hard to quantify those benefits,” Truist Securities analyst Youssef Squali told CNBC.
Meta in April released a couple of its new Llama 4 models, which Meta Chief Product Officer Chris Cox previously said can help power so-called AI agents that can perform tasks for users via web browsers and other online interfaces.
It’s critical that Meta keep improving Llama to create a major business involving AI agents that companies can use to interact with their customers within apps like Facebook and WhatsApp, William Blair research analyst Ralph Schackart said.
“Meta has an early mover advantage at scale in a multi-trillion dollar market,” Schackart said in an email. “We believe Meta is very well positioned to leverage its billions of global users across multiple platforms.”
Meta is unlikely to curb its Llama investment any time soon, but should eventually consider doing so if it fails to generates enough money to justify its costs, said Ken Gawrelski, a Wells Fargo managing director of equity research.
“We do believe that over time Meta needs to continue to evaluate whether Llama needs to be competitive with the leading-edge models,” Gawrelski said. “This is a very expensive proposition and thus far, unlike Google, Meta does not directly monetize its model in any material way.”
Chris Cox, Chief Product Officer at Meta Platforms, speaks during The Wall Street Journal’s WSJ Tech Live Conference in Laguna Beach, California on October 17, 2023.
Patrick T. Fallon | AFP | Getty Images
Meta AI and the consumer
Analysts are also following the Meta AI digital assistant. That’s because the ChatGPT rival represents the second pillar of Zuckerberg‘s AI strategy.
Zuckerberg in January said he believes 2025 “is going to be the year when a highly intelligent and personalized AI assistant reaches more than 1 billion people, and I expect Meta AI to be that leading AI assistant.”
In February, CNBC reported that Meta was planning to debut a standalone Meta AI app during the second quarter and test a paid subscription service, in which users could pay monthly fees to access more powerful versions like users can with ChatGPT.
Although Meta’s enormous user base across its family of apps gives Meta AI an advantage over rivals like ChatGPT in terms of reach, they may not interact with Meta AI in the same way they do with rival chat apps, said Cantor Fitzgerald analyst Deepak Mathivanan.
Gawrelski said that people may not want to use Meta AI within Facebook and Instagram if all they want to do is passively watch the short videos that Meta algorithmically recommends to their feeds.
“This is why a separate Meta AI, where Meta could clearly articulate its use case and value proposition, could be helpful,” Gawrelski said.
A standalone Meta AI app could help the company better market the digital assistant and distinguish it from rivals, said Debra Aho Williamson, founder and chief analyst for Sonata Insights.
“ChatGPT has such wide brand awareness, that it’s become a moat that is soon going to be very hard to overcome,” Williamson said.
The X logo appears on a phone, and the xAI logo is displayed on a laptop in Krakow, Poland, on April 1, 2025. (Photo by Klaudia Radecka/NurPhoto via Getty Images)
Nurphoto | Nurphoto | Getty Images
Elon Musk‘s xAI Holdings is in discussions with investors to raise about $20 billion, Bloomberg News reported Friday, citing people familiar with the matter.
The funding would value the company at over $120 billion, according to the report.
Musk was looking to assign “proper value” to xAI, sources told CNBC’s David Faber earlier this month. The remarks were made during a call with xAI investors, sources familiar with the matter told Faber. The Tesla CEO at that time didn’t explicitly mention any upcoming funding round, but the sources suggested xAI was preparing for a substantial capital raise in the near future.
The funding amount could be more than $20 billion as the exact figure had not been decided, the Bloomberg report added.
Artificial intelligence startup xAI didn’t immediately respond to a CNBC request for comment outside of U.S. business hours.
The AI firm last month acquired X in an all-stock deal that valued xAI at $80 billion and the social media platform at $33 billion.
“xAI and X’s futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent,” Musk said on X, announcing the deal. “This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.”
Read the full Bloomberg story here.
— CNBC’s Samantha Subin contributed to this report.
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