NVIDIA Watch posted an update
XDA-Developers says its Lenovo Yoga 9n test surfaced several practical wrinkles for local AI on NVIDIA’s RTX Spark platform: the 64GB memory is soldered in, Windows handles GPU memory allocation in ways buyers should understand, and Smart App Control can block unsigned developer tools.
Why it mattersThe article also points to current CUDA 1 limitations on Windows on Arm. In short, the laptop’s memory and software support matter as much as the headline AI capability. Local inference may be the draw, but checking your workflow first could save an expensive surprise.
Discuss: Would you buy a local-AI laptop with fixed memory and early software support, or wait for a more settled platform?
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