Putting Linux on my RTX Spark laptop because I don't have a Microsoft account

The thread mostly used the Windows-account headline as a doorway into a more consequential question: whether an RTX Spark laptop is actually a compelling local-AI machine. Commenters agreed that its shared system/GPU memory is the unusual feature. Unlike a conventional mini PC or gaming setup, it gives the GPU direct access to a very large memory pool, which can make models that overflow normal VRAM practical for local inference. A reported discounted 128 GB configuration also looked unusually attractive to people who price AI hardware by usable model memory rather than CPU prestige. That enthusiasm ran into sharp skepticism over value and speed. Several readers argued that a roughly $6,000 laptop built around an aging design is a poor buy when cheaper remote or desktop systems offer comparable RAM, newer silicon, or better sustained performance. The cited Qwen throughput of about 30 tokens per second particularly disappointed practitioners, who said bandwidth-bound inference engines on 24 GB cards or Strix Halo can reach roughly twice that rate with RAM offload. Thermal limits and limited memory bandwidth, not raw compute, were offered as the likely explanation. Linux support itself earned real credit: patches that boot Linux and confirmation that the machine works without Windows matter to developers who want a local AI workstation without WSL. Still, commenters saw NVIDIA’s established DGX Spark software stack as the safer Linux-oriented choice, while Windows laptops mainly serve users already tied to that ecosystem.