
The Verge: A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops
Nvidia’s new SoC is available in Windows laptops from six different manufacturers. We’ve collectively tested four of them so far. | Photo: Antonio G. Di Benedetto / The Verge Nvidia's RTX Spark N1X processor is finally here, and we've been collectively testing a small fortune's worth of powerful laptops sporting this new "superchip." RTX Spark is designed to be a high-performing Arm-based SoC for laptops and small desktop computers, rivaling the best from Apple, Intel, AMD, and
Nvidia has released a new Arm-based processor called RTX Spark designed for high-end laptops and small desktop computers. The chip features multiple CPU cores, graphics capabilities, and unified memory to run local AI models and is being positioned to compete with processors from Apple, Intel, AMD, and Qualcomm. Multiple laptop manufacturers are offering RTX Spark in their products at prices ranging from around $2,600 to $7,000, and the laptops are primarily targeted at developers, coders, and content creators. Early testing shows that Windows on Arm has become a functional experience for most applications, though gaming and AI performance vary depending on specific software and settings.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven
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 unveiled Maia 300, its third-generation AI chip, as Maia 200 goes live, powering Copilot.

The founders detailed how their startup is developing AI that can design chips, learn from each iteration, and improve subsequent designs, all with the goal of automating and accelerating the chip design process.

US data center land spending hit roughly $6 billion in the first half of 2026, as power access now drives land value and pricing more than location alone.

AI is pushing data center cooling to its limits, so the real advantage comes from integrating smart sensing, motor control, and power management into a single responsive, failure-anticipating system.
AI factories run on graphics processing units that cost a fortune and work at blistering speed, yet those chips increasingly sit idle waiting for data. As the bottleneck moves from compute to memory and storage, NAND flash is being asked to do far more than hold files. That shift is putting data movement constraints at […] The post ScaleFlux bets smarter SSD controllers can break the AI memory bottleneck appeared first on SiliconANGLE.