AI chip startup Tenstorrent has raised $1.5 billion at a $6.2 billion valuation, more than doubling its previous worth, as it scales production of chips designed for open-weight AI models and video generation. The round comes five months after the company reportedly received acquisition interest from Intel and Qualcomm.
Tenstorrent, a decade-old challenger to Nvidia's dominance in AI hardware, has closed a $1.5 billion funding round that values it at $6.2 billion. The round was led by Trace Capital, a new firm launched by Quiet Capital co-founder Ben Mahdavi, and Innovation X. Other participants included Cadence Ventures, Eclipse, Fidelity, SanDisk, and T. Rowe Price.
The valuation marks a significant jump from the $2.6 billion the company fetched in late 2024. According to Bloomberg, Tenstorrent CEO Jim Keller said the company chose to remain independent and raise further capital after demonstrating that its Galaxy servers could run DeepSeek models.
The new funds will go toward scaling chips tailored for serving open-weight AI models and video generation, an area where Tenstorrent hopes to carve out a niche against Nvidia's dominant hardware ecosystem.
Tenstorrent is part of a broader wave of AI hardware startups attempting to break Nvidia's stronghold. Among them is Etched, another AI chip maker that TechCrunch reported earlier this month was fielding investment offers at valuations of $40 billion or more.
The round comes after Tenstorrent reportedly received acquisition interest from Intel and Qualcomm at valuations of as much as $5 billion, according to earlier reports.
Analysis
Why This Matters
- Tenstorrent's rapid valuation growth signals investor confidence in alternatives to Nvidia's AI hardware, particularly for inference and open-weight models.
- The company's focus on open-weight models and video generation aligns with industry trends toward more flexible, customizable AI deployment.
- A successful independent Tenstorrent could help diversify the AI hardware market, reducing reliance on Nvidia's proprietary ecosystem.
Background
Tenstorrent was founded in 2016 and has focused on building AI chips for inference, the stage where trained models are used to make predictions. Under CEO Jim Keller, a veteran microprocessor engineer who previously worked at Apple, AMD, and Tesla, the company has emphasized open-source software and open-weight models as differentiators. The AI hardware market has been dominated by Nvidia, whose GPUs are widely used for both training and inference. A wave of startups, including Tenstorrent, Etched, and Cerebras, have emerged to challenge that dominance.
Key Perspectives
Tenstorrent: The company sees an opportunity in building chips specifically optimized for serving open-weight AI models, which allow developers more control and customization than proprietary models. Its Galaxy servers are positioned as a viable infrastructure for running models like those from DeepSeek.
Investors: The large funding round from institutional backers including Fidelity and T. Rowe Price suggests confidence in Tenstorrent's technology and market positioning, even as Nvidia continues to lead overall AI chip sales.
Critics/Skeptics: Nvidia's entrenched ecosystem and software stack (CUDA) remain a formidable barrier. Competitors must not only match hardware performance but also offer compelling software and developer tools. The AI hardware market is capital-intensive, and many startups have struggled to gain meaningful market share.
What to Watch
- Whether Tenstorrent can secure major cloud or enterprise customers for its Galaxy servers and open-weight AI chips.
- How Nvidia responds with its own inference-optimized products.
- The pace at which open-weight models gain adoption in production environments.