For forty years, you launched apps by clicking and typing—but Nvidia wants your next computer to simply do the work for you and behave more like R2-D2 and C3PO.
Kicking off Computex 2026 with a high-octane keynote at GTC Taipei, Nvidia CEO Jensen Huang officially unveiled the RTX Spark, a novel 1-petaflop system-on-a-chip designed to completely reinvent the Windows PC for the era of personal AI agents.
Up until now, Nvidia delivered graphics cards to PC users but kept out of the ongoing CPU-battles between AMD and Intel. This changes with the new chip, which is a custom 20-core ARM CPU infused with Nvidia’s Blackwell GPU-architecture and a huge 128 GB of unified memory.
This, according to Nvidia, allows PCs to run massive local AI models and the most taxing tasks. Yet, while Nvidia claims that this will move PCs from basic tools to active teammates, a staggering price tag may limit the audience to the ultra-premium tier.
Under the Hood
The RTX Spark represents a complete architectural split from the traditional x86 platform that Intel and AMD have dominated for years.
By designing a SoC (System on a Chip), Nvidia is bringing ultra-tight hardware integration similar to Apple’s M-series of chips to high-performance Windows PCs, but with the added benefit of a strong graphic processing part.
Based on the technical data revealed during the keynote, here is what is known about the silicon powering the RTX Spark:
- The Custom ARM CPU: The 20-core processor utilizes a custom architecture optimized specifically for Windows on ARM. It splits workloads efficiently between high-performance cores for demanding tasks and high-efficiency cores to keep background OS processes from draining resources.
- Blackwell Graphics Pipeline: Rather than relying on a separate graphics card connected via PCIe, desktop-class Blackwell GPU cores are baked directly onto the same die. This eliminates the latency bottleneck between the processor and the graphics card, allowing for instantaneous asset loading and ray-tracing calculations.
- Next-Gen Unified Memory: The headline-grabbing 128GB of unified memory operates on a massive bus width, allowing both the CPU and GPU to pull from the same pool of lightning-fast RAM.
- The 1-Petaflop AI Engine: By fusing traditional Tensor cores with a dedicated, next-generation Neural Processing Unit (NPU), the chip delivers unprecedented local AI throughput. This isn’t just for blurring webcam backgrounds; it provides the raw muscle required to generate complex code, render real-time AI upscaling, and drive persistent local operating system agents simultaneously.
Innovation on this scale doesn’t come without structural trade-offs. While ARM architectures are fundamentally praised for their power efficiency, pushing a petaflop of local compute requires advanced cooling solutions.
While Nvidia has kept exact MSRPs under wraps until its hardware partners (such as ASUS, MSI, and Razer) open pre-orders closer to the fall launch, the pricing strategy is premium.
WinFuture notes that the price of the very first N1X-powered device, the Lenovo Yoga Pro 7, starts at around $3000 and goes all the way up to $4600 for the premium version. Cheaper models are planned, but it looks as if these devices will push premium computing on Windows to a whole new level.