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Scoop: First Windows PCs powered by Nvidia chips to debut next week

Daniel Nenni

Founder
Staff member
Jensen Huang NVIDIA 2026.jpg


The company best known for powering the AI boom is coming for the PC: Nvidia is expected next week to debut the first Windows computers that use its chips as the main processor, sources confirm to Axios.

Why it matters: Microsoft's first AI PC push stumbled, but Nvidia's arrival gives it a second chance, this time with the world's hottest chipmaker attached.

Driving the news: Nvidia and Microsoft will unveil their joint work and the first computers running the chips at two key industry conferences — the Computex trade show in Taiwan and Microsoft's Build developer conference in San Francisco.
  • Nvidia-powered PCs are expected both from Microsoft's homegrown Surface brand as well as other computer makers, including Dell, sources confirmed.

  • Microsoft is also expected to debut software that makes it easier for people to have AI agents do work locally on their Windows computer.

  • A Microsoft representative declined to comment. Dell declined to comment. Nvidia did not immediately respond to a request for comment.
Catch-up quick: Nvidia, which got its start making PC graphics chips, has been working on entering the PC processor business for years now, though only recently has it become clear that the debut was imminent.
  • "A new era of PC," Nvidia teased in a Friday post on X, pointing to coordinates that match a location in Taiwan.

  • Meanwhile. Windows head Pavan Davuluri engaged in his own vagueposting. "Something new is coming for developers," he said on X. "And no, it's not a new OS version. See you at Build next week!"
Flashback: Nvidia isn't totally new to powering Windows devices.
  • There were some Nvidia-powered Surface tablets that ran Windows RT, a slimmed down version of Windows 8, back in 2012.
The big picture: The move comes as Microsoft is trying to reposition Windows to take advantage of the massive momentum behind AI.
  • Microsoft's first effort at an AI PC, the Copilot+ PC, was marred by a series of setbacks, including a lengthy delay and security concerns over its signature feature, Recall.
  • However, the move toward agents that can automatically perform tasks on local PCs has provided what it sees as a fresh opening.

  • The company has been embracing OpenClaw since earlier this year, creating a new team led by veteran coder Omar Shahine. The company also has OpenClaw founder Peter Steinberger (now employed by OpenAI) scheduled to host a breakout session at Build.

Between the lines: While most AI work has been done in the cloud, Microsoft's push to have things run locally could find newly receptive ears.
  • Businesses are starting to struggle with massive computing costs that have accompanied the shift from unlimited-use chatbots to agents, which can rack up giant bills as they do their autonomous work.
What they're saying: Nvidia's entry in the PC market could help not only it and Microsoft, but also rival Qualcomm, which uses a similar type of chip as Nvidia rather than the traditional PC chip architecture used by Intel and AMD.
  • "From an industry perspective, it's a good thing," Carolina Milanesi, an analyst at Current Strategies, told Axios.

  • Milanesi said that Qualcomm has struggled to grab a significant chunk of the PC market despite offering excellent battery life, in part because developers and businesses didn't see a need to focus scarce resources on a somewhat different version of Windows.

  • As for Nvidia, Milanesi said getting its new processor used in the data center is the bigger opportunity, but powering PCs could be a nice complement.
 
Ming-Chi Kuo, Nvidia's Much-Anticipated, Reportedly Upcoming N1X / Windows PC Processor: Supply Chain Checks and Key Takeaways
▌Supply chain checks point to around 10M shipments of N1X-based devices over the next two years. Still a niche market, aimed at power users who need on-device AI compute. Whether shipments get revised up will come down to price, but mainly to whether Windows can deliver apps and workflows that truly orchestrate on-device AI compute.
▌Today, the main ways people use AI on a PC (both Windows and Mac) are accessing cloud LLM services through a browser and calling LLMs via API to consume a cloud provider's compute / tokens: In both cases, the core AI compute happens in the cloud, not on the device.
▌So far in 2026, the two hottest stories in the PC market have had almost nothing to do with on-device AI compute: Strong MacBook Neo sales. My industry checks suggest 2026 shipments of Neo models were revised up by roughly 100% (5M → 10M). Buyers are paying for price, design, and ecosystem, not for on-device AI compute. Cheap mini PCs, still niche, are drawing a lot of attention because they can run AI agents (like OpenClaw) around the clock (e.g., Mac mini). These agents also run inference in the cloud. Bottom line: neither the sales nor the buzz has much to do with on-device AI compute.
▌The key to on-device AI driving an upgrade cycle is the operating system (OS): What really sets on-device AI apart from the cloud is its ability to deeply integrate a user's data and workflows across apps while keeping things private. But that needs OS support. AI in today's PC OS is still mostly about adding AI features to first-party apps and loosely connecting workflows across apps. Some apps already make good use of on-device AI compute, like speech-to-text, but not enough to drive meaningful upgrade demand.
▌The N1X devices could give AI power users another solid option: Thanks to the N1X, device makers can strike a better new balance across AI compute, memory, design, and portability. For power users running LLMs on-device, an N1X device is a solid alternative to the Mac when it comes to capable on-device AI compute and large memory. But if the goal is a real upgrade cycle, then beyond price, OS support (Windows) is still what matters.
 
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