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Qualcomm mulls taking over Jim Keller
https://www.tomshardware.com/author/anton-shilov · 2026-06-16 · via Latest from Tom's Hardware
Tenstorrent
(Image credit: Tenstorrent)

Qualcomm is evaluating an acquisition of Jim Keller-led AI processor developer Tenstorrent in a transaction that could value the company at between $8 billion and $10 billion, reports The Information. The discussions are ongoing, and there is no guarantee that a deal will be reached, but if the takeover proceeds, it will not only value Tenstorrent at a premium but will be one of the most expensive transactions in Qualcomm's history.

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The report claims that Qualcomm is particularly interested in Tenstorrent's RISC-V-based AI accelerators and data center-grade CPU IP, though it does not specify how the company plans to integrate Tenstorrent and its products into its lineup. For AI, Qualcomm already has its Qualcomm AI200 and AI250 accelerators based on its Hexagon neural processing units (NPUs) customized for data center AI workloads that are due to ship in 2026. For general-purpose computing, Qualcomm is developing its own server CPUs, presumably based on the Arm instruction set architecture, and recently acquired Ventana Micro, which has a data center-grade RISC-V-powered CPU design.

Qualcomm is known for having a multi-faceted strategy, but having two different types of AI accelerators and three types of data center CPUs (one Arm-based, two RISC-V-based) may not be the most optimal strategy for the company.

Qualcomm is one of the companies that acquires other entities, both to get new IP and competencies as well as actual development teams. While the company's acquisition of Atheros in 2011 transformed Qualcomm from primarily an application processor and cellular modem supplier into a company with a broad portfolio of communication products that includes Ethernet and Wi-Fi, the takeover of Nuvia brought the company fresh blood and put it on the map as a client CPU supplier. The same applies to more recent acquisitions of Alphawave Semi (optical connectivity, chiplets, SerDes, IP, new engineers) and Ventana Micro (RISC-V CPU IP, a CPU developers team).

The potential valuation is another point of concern. Last year, the company was seeking approximately $800 million from investors at a valuation of around $3.2 billion, although it remains unclear whether that financing round was completed, according to The Information. Meanwhile, right now Qualcomm and Tenstorrent are reportedly discussing a valuation between $8 billion and $10 billion, and it is unclear whether this valuation is performance milestones-based.

Yet, given that Qualcomm already has AI acceleration and CPU IP, paying $8 billion – $10 billion for Tenstorrent would be difficult to justify. Such sums represent a massive premium for a company whose hardware business remains relatively small compared to established AI accelerator vendors. That said, the more compelling explanation is people.

Tenstorrent has assembled one of the industry's strongest collections of CPU, AI, interconnect, compiler, and systems architects. The obvious name is Jim Keller, but the company has spent years hiring engineers from AMD, Apple, Intel, Tesla, and others, and this team knows how to build chips. Qualcomm has consistently demonstrated that it is willing to spend billions to acquire elite engineering teams rather than build them from scratch.

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The Nuvia acquisition is the best precedent: Qualcomm did not buy Nuvia because it lacked Arm licenses or CPU design capability. It bought Nuvia because it wanted the team led by Gerard Williams III and the ability to accelerate its CPU roadmap by years with the Oryon IP.

That said, Tenstorrent looks less like an AI accelerator acquisition and more like a talent and future-architecture acquisition, as in addition to the talented team, Qualcomm would also get plenty of RISC-V expertise, which will make it the leading developer of RISC-V-based solutions in general.

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Anton Shilov is a contributing writer at Tom’s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.