Tenstorrent, the chip startup trying to chip away at Nvidia’s grip on AI hardware, raised $1.5 billion on Monday at a $6.2 billion valuation. The round more than doubled the company’s value from the roughly $2.6 billion it fetched in late 2024. That makes the 10-year-old startup one of the best-funded Nvidia challengers on the planet.

CEO Jim Keller told Bloomberg the company turned down acquisition interest from Intel and Qualcomm, reportedly at valuations of up to $5 billion, to stay independent and raise more capital instead. The deciding factor, Keller said, was Tenstorrent’s Galaxy servers: the company showed they could run DeepSeek’s open-weight models, and decided the business was worth building, not selling.

That’s a big bet. It’s also a bet other investors are suddenly eager to make.

Tenstorrent AI chips get a $1.5 billion vote of confidence

The Series E round was led by Trace Capital (a new firm launched by Quiet Capital co-founder Ben Mahdavi) and Innovation X, according to TechCrunch. The investor list reads like a cross-section of the AI economy’s smart money: Fidelity, T. Rowe Price, Eclipse, Cadence Ventures, SanDisk, Cathie Wood’s ARK Invest, Morgan Stanley, and even Tether Investments.

Tenstorrent plans to spend the money scaling production of its Galaxy servers, which combine dozens of its AI chips into racks built to power chatbots, coding assistants, and video generators. The longer-term play is chips purpose-built for serving open-weight AI models: the openly available models like DeepSeek’s that anyone can download and run, rather than the closed systems from OpenAI or Anthropic.

It wasn’t long ago that raising money to compete with Nvidia looked like a fool’s errand. In December 2024, Tenstorrent raised more than $693 million in a round that valued it at $2 billion pre-money. Now, five months after the Intel and Qualcomm acquisition talk surfaced, the company has decided it doesn’t need a buyer. Investors agreed.

Why Jim Keller is betting on RISC-V

Keller’s résumé is the reason this story exists. The prominent microprocessor engineer led Tesla’s effort to develop a self-driving chip for its electric vehicles and held key design roles at Apple and AMD, per Reuters. When a person with that track record says Nvidia has a weakness worth attacking, people listen.

Tenstorrent’s weapon is architectural. The company designs its chips around RISC-V, an open-source chip architecture that lets companies build processors without paying license fees and without depending on proprietary ecosystems like Arm’s. That choice matters more than it might sound. For companies buying AI hardware at data-center scale, license fees and ecosystem lock-in are real line items, and an open alternative has genuine pull.

There’s also a timing angle Keller clearly sees. The AI boom has been about training models, the expensive, GPU-hungry phase of building them. But as open-weight models get better and cheaper to run, the growth market shifts toward inference: serving those models to users at scale. Tenstorrent’s chips are aimed squarely at that market, including video generation, which is among the most compute-intensive inference workloads out there.

The Nvidia-challenger wave keeps growing

Tenstorrent isn’t alone, and the money flowing into Nvidia alternatives suggests this is becoming a real category. TechCrunch reported earlier this month that Etched, another AI chip maker, was fielding investment offers at valuations of $40 billion or more, roughly six times what Tenstorrent just raised at.

That might sound like a bubble. It might partly be one. But the appetite is rational in one key sense: Nvidia’s dominance is so complete that buyers of AI compute are desperate for alternatives, both for pricing power and for supply security. Every data center operator in America would like a credible second supplier. Startups like Tenstorrent are selling exactly that promise, and investors are happy to fund the attempt.

The $1.5 billion also buys Tenstorrent something money can’t normally buy in the chip business: independence. In semiconductors, the most common outcome for a promising startup is acquisition by a giant. Keller is explicitly choosing the harder path — competing head-to-head — and now has the war chest to do it.

Why this matters

Nvidia’s market position looks unassailable right now, but monopolies in hardware have a way of eroding when enough smart money decides they shouldn’t last. Tenstorrent’s raise is the latest and loudest signal that the industry is funding the erosion: open architectures, open-weight models, and a legendary chip architect with $1.5 billion to spend.

Nvidia still wins on software, on developer lock-in, and on sheer engineering velocity. None of that changes because of one funding round. But Keller has now turned down $5 billion acquisition offers to fight this fight in the open. The investors who just paid $6.2 billion for a piece of the outcome are betting he can.

FAQ

How much did Tenstorrent raise in October 2026?

Tenstorrent raised $1.5 billion in a Series E round at a $6.2 billion post-money valuation, announced October 19, 2026. The round more than doubled its late-2024 valuation.

Who is behind Tenstorrent’s AI chips?

Tenstorrent is led by Jim Keller, the chip architect who headed Tesla’s self-driving chip effort and held key design roles at Apple and AMD. He took over as CEO of the Santa Clara startup in 2021.

What are Tenstorrent AI chips used for?

Tenstorrent builds chips and software on the open-source RISC-V architecture, aimed at inference and serving open-weight AI models — powering chatbots, coding assistants, and video generators through its Galaxy servers.

Did Intel or Qualcomm try to buy Tenstorrent?

Bloomberg reported earlier in 2026 that Intel and Qualcomm had shown acquisition interest at valuations of up to $5 billion. Tenstorrent chose to stay independent and raise more capital instead.

Sources: Reuters, TechCrunch, Bloomberg