A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops — SkimNews
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- Nvidia's RTX Spark N1X is an Arm-based SoC for laptops and small desktops with 20 CPU cores, 6,144 GPU CUDA cores, and Blackwell graphics, pitched at developers and content creators who want to run sizable local AI models
- First-wave RTX Spark laptops from Microsoft (Surface Laptop Ultra with 128GB unified memory), Asus (ProArt P16 at $6,999.99), HP (OmniBook Ultra at $3,199.99), and Lenovo (Yoga 9n 2-in-1) range from $2,599.99 to $6,999.99, with an 18-core / 5,120-CUDA N1X chip in cheaper configs
- Windows on Arm app compatibility held up in a week of daily use, with native Arm versions of Adobe Photoshop and Premiere and no failures across Signal, Discord, Slack, Audacity, and CapCut, though Sean Hollister reported Evernote notes disappearing on alt-tab and system-wide dark mode issues
- Gaming performance landed between an RTX 5060 and 5070 Laptop GPU per Antonio Di Benedetto's testing — Black Myth: Wukong averaged 70fps at native 3270x2180 with medium settings and DLSS, Cyberpunk 2077 hit 66fps, but CPU-bound titles like Star Wars Zero Company capped at 37-39fps regardless of settings
- Battery life was the chip's biggest weakness even with the Asus ProArt P16's 99.9 watt-hour pack: best run was 5 hours 40 minutes of web work at 50% brightness, with drain climbing from 13-17W for browsing to 50W during a CapCut export and 120W while gaming Indiana Jones and the Great Circle
- Fast charging via 140W USB-C PD partially offset the short runtime — the ProArt P16 went from dead to 50% in 20 minutes and reached a full charge in 1 hour 15 minutes
Why it matters: Nvidia's RTX Spark is the first credible Arm-based challenger to Apple, Intel, AMD, and Qualcomm in premium laptops, and its up to 128GB of unified memory opens doors for local AI workloads that competing thin-and-lights can't match. But with $2,600-$7,000 price tags, roughly five hours of real-world battery life, and gaming performance that lags a discrete RTX 5070, the value case rests on whether developers and creators need that unified memory more than they need all-day endurance.
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