
The Verge: How Windows is being optimized for Nvidia’s RTX Spark laptops
Microsoft and Nvidia held a launch party for the first wave of RTX Spark laptops last week in San Francisco, where a new wave of AI PCs took center stage amid a packed crowd and a lively hands-on area. A day after the media event, I was invited to a quieter Nvidia event to hear a lot more about the new RTX Spark computing platform. While Nvidia's new laptops might look like regular Windows machines, the chips inside are Arm-based, instead of the traditional x64 architecture use
Microsoft has optimized Windows to work with new laptops that use Arm-based chips and powerful GPUs instead of the traditional processor architecture. The key innovation is enabling local AI models to run directly on these laptops, which required redesigning the Windows setup experience so users can find, install, and launch AI agents in just two clicks. Agents can be installed and updated through the Windows Store without users needing to manually manage updates or dependencies. This optimization addresses one of the biggest challenges in preparing these new laptops for launch: making it quick and easy for users to set up and use AI agents when they first get their devices.
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Nvidia CEO Jensen Huang announced $2 billion in European investments and new stakes in French startups like Doctolib and Entalpic. The UK gets $250 million in compute for AI agent safety and security research. Huang pitched open-weight models as Europe's way to close the AI gap. The article Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs appeared first on The Decoder.

Microsoft will make its in-house Azure Maia chips the main AI inference system across its products starting in 2027, deploying them at multi-gigawatt scale. The upcoming Maia 300 should deliver 40 percent more tokens per megawatt than leading GPU systems. CEO Satya Nadella calls it "our biggest bet yet on our own silicon." The article Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027 appeared first on The Decoder.
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