Dell confirmed at Computex 2026 that a new XPS laptop will ship with NVIDIA's N1X chip - a consumer-grade version of the GB10 Grace Blackwell silicon that powers NVIDIA's $2,999 DGX Spark desktop AI computer.
The DGX Spark, announced at Computex 2025, was designed specifically for running large AI models locally - meaning on your own hardware, without sending data to OpenAI or Anthropic's servers. It can handle models with up to 200 billion parameters (a rough measure of model complexity; for reference, a capable open-source model like Llama 3 70B sits well below that ceiling). The N1X brings that same class of architecture into a thin Windows laptop, which is a genuinely different category of device.
Until now, serious local AI inference on Windows has meant building or buying a desktop with a high-end NVIDIA GPU, and those setups are loud, expensive, and not portable. Apple's M-series chips in MacBook Pros have been the only mainstream option for running capable models on a laptop without a cloud connection. This is Dell's direct answer to that.
What We Don't Know Yet
Dell hasn't released pricing, a release date, or detailed specs for the N1X variant. Given the DGX Spark's starting price and the premium Dell charges for XPS hardware, expect this to land in the $2,500-$4,000 range - not something most people will buy, but plausible for developers, legal professionals handling sensitive documents, or small businesses that can't send client data to third-party servers.
The software side is the real question. NVIDIA's CUDA ecosystem and tools like LM Studio make running local models on Windows more accessible than it was two years ago, but Apple's integrated experience still requires less friction. How well Dell packages the N1X experience for non-technical users will determine whether this is a genuine alternative or just a spec sheet win.
Full technical details are expected from Dell and NVIDIA during Computex 2026.