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Tenstorrent hits $6.2B valuation to scale open-weight AI chips

After drawing acquisition interest earlier this year, the Nvidia challenger raised $1.5 billion to remain independent.

Marina Temkin

Publisher TechCrunch AI

Oct 19, 2026 at 6:37 PM UTC · Updated il y a 10 jours · 1 min de lecture

Tenstorrent hits $6.2B valuation to scale open-weight AI chips
Image via TechCrunch AI

Key Signal

$1.5B Capital raised

Last Updated

il y a 10 jours

Traduction…

Tenstorrent, a chip startup focused on inference, has raised $1.5 billion at a $6.2 billion valuation. The round comes five months after the 10-year-old Nvidia challenger reportedly received acquisition interest from Intel and Qualcomm at valuations of as much as $5 billion.

The fresh round, which more than doubled Tenstorrent’s valuation from the $2.6 billion it fetched in late 2024, was led by Trace Capital, a new firm launched by Quiet Capital co-founder Ben Mahdavi, and Innovation X. Other backers included Cadence Ventures, Eclipse, Fidelity, SanDisk, and T. Rowe Price.

Jim Keller, a prominent microprocessor engineer and Tenstorrent CEO, told Bloomberg that the company decided to remain independent and raise more capital after it showed that its Galaxy servers could run DeepSeek models. The new capital will go toward scaling chips tailored for serving open-weight AI models and video generation.

Tenstorrent is part of a wave of AI hardware startups trying to chip away at Nvidia’s dominance. Among them is Etched, an AI chip maker that was fielding investment offers at valuations of $40 billion or more, TechCrunch reported earlier this month.

Why this matters

The $1.5 billion raise gives Tenstorrent substantial resources to develop and deploy alternative AI inference hardware, a strategically important layer of AI infrastructure. Its decision to remain independent could increase competitive pressure on incumbent chip suppliers, though translating funding into meaningful market share remains uncertain.

#ai#web3

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Originally reported by TechCrunch AI

NewsLayer coverage based on externally reported material.

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