NVIDIA RTX Spark N1X Laptops May Start at an Eye-Watering Price of $2,899

The lower-tier RTX Spark N1 chip is expected to launch at approximately $1,799 or higher


nvidia rtx spark
Image credit: NVIDIA

NVIDIA recently unveiled its ambitious RTX Spark platform. Although we don’t exactly know which laptops would feature NVIDIA’s latest processor, but a new report suggests that those may come with eye-watering price tags.

Upcoming NVIDIA RTX Spark laptops might dent your wallet

In a post on X, user Max Weinbach shared that estimates cited by Morgan Stanley following discussions with PC manufacturers at Computex 2026, laptops powered by the flagship RTX Spark N1X platform may start around $2,899 (via Wccftech).

Thart’s not all; laptops using the lower-tier RTX Spark N1 chip are reportedly expected to launch at approximately $1,799 or higher. If those pricing details turns out to be true, some RTX Spark laptops could end up costing nearly as much as premium gaming rigs equipped with dedicated RTX 5090 GPU.

It goes without saying that NVIDIA has not confirmed any pricing details yet. However, the estimates is in line with previously leaked Lenovo listings that hinted at premium positioning for the upcoming hardware.

NVIDIA wants a piece of Apple’s playbook

In case you’re unaware, the RTX Spark platform is NVIDIA’s biggest bet yet into the Windows on Arm space. The flagship N1X configuration combines a 20-core Grace CPU with a Blackwell-based GPU featuring 6,144 CUDA cores. NVIDIA is also promising up to 128GB of unified LPDDR5X memory and 600 GB/s bandwidth through its NVLink-C2C architecture.

On paper, the platform looks more like a workstation-class product than a traditional laptop processor, which is enough to explain the whopping alleged pricing. While the hardware itself sounds impressive on paper, the real challenge for NVIDIA would be to convince buyers to spend nearly $3,000 on a Windows on Arm laptop.

During the announcement, NVIDIA said that the new processor is designed keeping AI developers, creators, and professionals in mind, who could be benefited from massive, unified memory pools and local AI workloads.

More about the topics: nvidia, NVIDIA RTX Spark, Windows 11, windows on arm

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