At Computex in Taipei, Nvidia unveiled the RTX Spark — an ARM-based chip designed to bring AI agents directly onto personal computers, without relying on the cloud. The announcement, made alongside Microsoft and a coalition of major PC makers, signals a philosophical reorientation of what a personal computer is meant to be: not a tool awaiting instruction, but a system capable of anticipating and acting. In positioning compute itself as the new source of enterprise revenue, Nvidia is quietly arguing that the age of passive hardware is over, and that intelligence embedded in the machine is the
Nvidia launches RTX Spark chip to power AI agent PCs, reshaping Windows ecosystem
Compute is revenue now. Compute is profit.
So Nvidia is making PC chips now? I thought that was Qualcomm and Intel's territory.
It is, but Qualcomm's exclusive license for ARM chips on Windows appears to have ended. Nvidia saw an opening and moved fast. The RTX Spark is ARM-based, not x86, so it's a different architecture entirely.
Right, but we should note—Nvidia tried this before with the Surface RT in 2012 and it didn't work. The question isn't whether they have the technical chops. It's whether the market actually wants what they're selling.
Which is what, exactly?
AI agents that run locally on your device. The pitch is that instead of sending your data to the cloud, the chip handles routine tasks—scheduling, email, analysis—right there on your laptop. Private, fast, always available.
That's the marketing story. But here's what we don't know yet: Will developers actually build for this? Will consumers care about local AI agents, or will they just use ChatGPT in a browser? The hardware is real. The demand is still theoretical.
What about the specs? Are they actually impressive?
One petaflop of AI compute, up to 128 gigabytes of RAM, 6,144 GPU cores. For context, that's substantial. Adobe is already optimizing Photoshop and Premiere for it. You can edit 12K video and generate 4K AI video on the device.
Those are real capabilities. But Nvidia is also shipping less powerful versions with 16GB of RAM. We don't know the performance curve across the lineup, and we don't know the price. A $3,000 laptop with RTX Spark is a different product than a $1,200 one.
When do these actually ship?
This fall for most manufacturers—Asus, Dell, HP, Lenovo, MSI. Microsoft's Surface Laptop Ultra comes before the end of the year. So we're talking months away, not years.
And that's worth watching. If these devices sit on shelves, that tells you something. If they sell out, that tells you something else. We'll know pretty quickly whether the market agrees with Huang's vision.
Le Pouls
- Nvidia's entry into the Windows PC chip market breaks Qualcomm's ARM exclusivity and immediately reshapes the competitive landscape for personal computing.
- The RTX Spark promises up to 1 petaflop of AI performance and 128GB of unified memory — enough to run AI agents locally, edit 12K video, and power AAA gaming, all from a 14mm-thin laptop.
- Major manufacturers — Asus, Dell, HP, Lenovo, Microsoft, and MSI — have already committed to RTX Spark devices launching this fall, signaling unusually rapid industry alignment behind the platform.
- Beyond consumer hardware, Nvidia unveiled the Vera Rubin supercomputer for enterprise agentic AI, with OpenAI, Anthropic, and SpaceX among early adopters, extending the company's ambitions far beyond gaming.
- Jensen Huang's repeated insistence that 'compute is revenue now' marks a deliberate rebranding: Nvidia is no longer a GPU maker — it is positioning itself as the foundational infrastructure of the AI economy.
At Computex in Taipei, Nvidia unveiled the RTX Spark — an ARM-based chip designed to bring AI agents directly onto personal computers, without relying on the cloud. The announcement, made alongside Microsoft and a coalition of major PC makers, signals a philosophical reorientation of what a personal computer is meant to be: not a tool awaiting instruction, but a system capable of anticipating and acting. In positioning compute itself as the new source of enterprise revenue, Nvidia is quietly arguing that the age of passive hardware is over, and that intelligence embedded in the machine is the next frontier of human productivity.
Nvidia has stepped into the Windows PC market with the RTX Spark, an ARM-based chip unveiled at Computex in Taipei, representing the company's most consequential move into consumer computing in over a decade. CEO Jensen Huang framed the launch as a reinvention of the personal computer — the first major redesign in forty years — built around a new premise: that PCs should not merely respond to commands, but anticipate needs and act autonomously through AI agents.
The chip is formidable by any measure. It delivers up to 1 petaflop of AI performance, 128 gigabytes of unified memory, 6,144 GPU cores, and 20 CPU cores. Huang described it as capable of running everything ever created — plus AI agents that handle scheduling, email, and data tasks without cloud dependency. Adobe is rebuilding Photoshop and Premiere around it from the ground up. Gamers get AAA titles at 1440p with ray tracing and DLSS. Creatives get 12K video editing and 4K AI generation. The core promise, however, is local intelligence: private, on-device AI that never leaves your machine.
The hardware arrives in a slim, portable form — laptops as thin as 14 millimeters, as light as three pounds, in 14- to 16-inch sizes. Microsoft's Surface Laptop Ultra, featuring a 15-inch mini-LED display and up to 128GB of RAM, will ship before the end of 2026. Asus, Dell, HP, Lenovo, and MSI will follow this fall, reflecting broad industry commitment to the platform.
Huang also used the keynote to announce the Vera Rubin supercomputer — described as Nvidia's most ambitious project ever — designed for enterprise agentic AI workloads and already in production at Microsoft and Dell. OpenAI, Anthropic, and SpaceX are early adopters. He introduced Nemotron 3 Ultra, an open-source model claimed to be five times faster and 30 percent cheaper than rivals, alongside platforms for physical AI and humanoid robotics.
The strategic subtext is significant. Qualcomm's exclusive hold on ARM chips for Windows 11 appears to have lapsed, clearing the path for Nvidia's entry. Huang's insistence that 'the absence of compute is now loss' is not mere marketing — it is a declaration that Nvidia has repositioned itself as the essential infrastructure of an AI-native world, from the laptop on your desk to the supercomputer in the enterprise data center.
Nvidia has entered the Windows PC market with a new chip designed to run artificial intelligence agents directly on laptops and desktops, marking the company's most ambitious push into consumer computing since its failed attempt with the Surface RT in 2012. The RTX Spark, an ARM-based processor unveiled at Computex in Taipei, represents a fundamental shift in how the company sees personal computers working—not as machines you command, but as systems that anticipate your needs and handle routine tasks without intervention.
During his keynote address, Nvidia CEO Jensen Huang positioned the RTX Spark as the foundation of what he called a reinvention of the PC, a collaboration between Microsoft and Nvidia that he claimed was the first major redesign in four decades. The chip packs substantial computing power: up to 1 petaflop of AI performance, 128 gigabytes of unified memory, 6,144 GPU cores, and 20 CPU cores. Huang emphasized that the processor "runs everything the world has ever created, plus it runs agents"—a reference to AI systems that can automate tasks like scheduling, email management, or data analysis without requiring manual intervention at each step. The company will offer less powerful versions with as little as 16 gigabytes of RAM for different price points and use cases.
The practical applications Nvidia outlined suggest the company is thinking beyond gaming or creative professionals. On the creative side, the RTX Spark can render 3D scenes larger than 90 gigabytes, edit video at 12K resolution, and generate AI video in 4K. Adobe is optimizing Photoshop and Premiere for the chip from the ground up, with tools like Firefly-powered generative fill accelerated for faster performance. For gamers, the chip delivers AAA titles at 1440p resolution with over 100 frames per second, ray tracing, and Nvidia's DLSS upscaling technology. But the core pitch is about agents—local AI systems that run privately on your device, using frameworks like OpenShell and models such as OpenClaw or Hermes to handle work without sending data to the cloud.
The hardware itself reflects Nvidia's ambitions for a slim, portable form factor. RTX Spark laptops will measure as thin as 14 millimeters and weigh as little as three pounds, with screen sizes ranging from 14 to 16 inches. Microsoft is leading the charge with the Surface Laptop Ultra, which will ship with up to 128 gigabytes of RAM and a 15-inch mini-LED display capable of 2,000 nits of peak brightness. The device will arrive before the end of 2026. Asus, Dell, HP, Lenovo, and MSI have all committed to shipping RTX Spark laptops this fall, suggesting broad industry backing for the platform.
Beyond consumer devices, Huang used the keynote to articulate a broader vision of compute as the new engine of profit in enterprise AI. He unveiled Vera Rubin, a multi-rack supercomputer designed specifically for agentic AI workloads, and described it as "the most ambitious endeavour in Nvidia history." The system is twice the size of Nvidia's previous Grace Blackwell platform and now in full production. Huang stated that assembly time for a Vera Rubin stack has dropped from two hours to five minutes, and both Microsoft and Dell already have working systems. He also introduced new Vera CPUs built with a different architecture than traditional processors, optimized for the constant decision-making that AI agents require. OpenAI, Anthropic, and SpaceX are early adopters.
Nvidia also announced Nemotron 3 Ultra, an open-source AI model the company claims is five times faster and 30 percent cheaper than competing efficient models, with full transparency about its training data. The company introduced Cosmos 3, an open platform for physical AI, and Isaac Groot for humanoid robotics. For autonomous vehicles, Nvidia unveiled Alpamayo, described as the world's first reasoning autonomous vehicle model capable of explaining its decisions aloud as it drives.
The timing of the RTX Spark launch carries strategic weight. Qualcomm has held an exclusive license to produce ARM-based chips for Windows 11, but that arrangement appears to have ended, opening the door for Nvidia to compete directly in the PC processor market. Huang's repeated emphasis that "compute is revenue now" and "the absence of compute is now loss" signals how thoroughly Nvidia has repositioned itself—no longer primarily a gaming GPU maker, but a company betting that every layer of computing, from personal devices to enterprise infrastructure, will be built around AI agents that require constant, local processing power. The RTX Spark is the consumer-facing expression of that bet.
Citations marquantes
This is a reinvention of the PC for the first time in 40 years thanks to agentic AI— Jensen Huang, Nvidia CEO
Running solutions like OpenShell and Microsoft security primitives on RTX Spark will enable users to leverage a fully integrated stack for private, personal agents running on device— Vincent Koc, OpenClaw Foundation chief architect