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The $7,000 Laptop That Runs 27B AI Models Locally

ASUS's new ProArt P16 leverages NVIDIA's RTX Spark chip to offer massive memory for AI tasks, though its steep price and battery life limit its appeal for general consumers.

By Lucia Orlov ·

Illustration for: The $7,000 Laptop That Runs 27B AI Models Locally
Illustration generated for this article, not a news photograph.

A new premium laptop is testing the patience of budget conscious buyers by pairing impressive AI capabilities with a price tag that rivals high end desktop workstations. The ASUS ProArt P16, reviewed on October 23, 2026, marks a significant shift for the brand as the first device to utilize NVIDIA's RTX Spark chip. While the hardware is robust, the machine is clearly not designed for the mass market. It targets power hungry creators who need to run large artificial intelligence models locally, a niche that demands specific architectural choices rather than broad compatibility.

The primary selling point of the device is its ability to handle massive datasets without relying on cloud services. The laptop can accommodate up to 128GB of RAM within a slim profile, a feature that makes it particularly attractive for AI researchers. In practical testing, the machine ran the Qwen3.8 27B model, which alone consumes 42GB of memory, with significant headroom remaining. This capacity allows for complex local computations that would be difficult or impossible on standard consumer hardware, positioning the device as a specialized tool for technical professionals.

The internal architecture drives this performance. RTX Spark functions as a system on a chip, integrating a 20 core Arm CPU with a Blackwell GPU. This unified memory design mirrors the approach taken by Apple with its M series processors. Reviewers describe this as a new branch of PC design that will exist alongside traditional x86 hardware and Qualcomm's Snapdragon X chips. While this architecture offers efficiency for specific tasks, it does not replace existing standards. Instead, it introduces a competitive dynamic that may push Intel, AMD, and Qualcomm to refine their offerings, even if it does not immediately lower the cost of memory which remains inflated by AI demand.

The financial barrier is the most significant hurdle for potential buyers. The base model starts at $2,800, but costs escalate rapidly with added memory. The specific unit reviewed, equipped with 128GB of RAM, carries a price of $7,000. For comparison, a dedicated gaming laptop from the same manufacturer, the Zephyrus G16, is available for $2,124. This model features an RTX 5070 GPU and a 240Hz OLED screen, offering better gaming performance and full compatibility at a fraction of the cost. The price gap suggests that the ProArt P16 is a premium investment for those who require its specific AI capabilities.

Physical design and display quality received high praise. The aluminum chassis is sturdy, and the 16 inch OLED panel reaches a brightness of 1,600 nits, ranking among the brightest laptop displays available. At 3.9 pounds, the device is lighter than the 4.7 pound Apple 16 inch MacBook Pro. The keyboard and haptic touchpad are generously sized, and the port selection includes three USB C connections, USB Type A, HDMI, and a full size SD card reader. However, the absence of an Ethernet port and the tendency of the black finish to attract fingerprints are minor drawbacks noted in the review.

Performance benchmarks present a mixed picture. In general application tests, the ProArt P16 scored approximately 3,000 points lower than an ASUS A16 equipped with a Snapdragon X2 Elite chip. It also trailed slightly in single threaded CPU testing. However, it excelled in graphics and AI specific metrics. The laptop beat a MacBook Pro with an M5 Max chip by 4,700 points in GPU testing and outperformed Apple's device in AI image generation and computer vision tasks. In gaming, it achieved 70 frames per second in Control: Resonant at ultra settings, a figure that rose to 120 frames per second when settings were lowered. The fans were loud during these workloads, but the thermal management remained effective.

Compatibility remains a concern for users outside the AI sector. Most games rely on Microsoft's Prism emulator for the Arm CPU, which can reduce performance and cause stability issues. While native Arm64 builds exist for titles like Fortnite and DOTA 2, some multiplayer games may still fail due to anti cheat software. Adobe has brought its core software to the platform, but support from other multimedia applications is less certain. Battery life was measured at ten hours and 51 minutes in application testing, which falls short of the 15 hour benchmark for many premium laptops. Performance did not degrade when the device was unplugged, but the overall endurance is lower than expected for a portable workstation.

The outlook for the ProArt P16 is clear: it is a tool for a specific profession. AI professionals can justify the high cost for the local processing power it provides. For general users and gamers, the reviewer suggested waiting at least a year before recommending the platform. The device represents a bold step into a new architectural era, but it is not yet a replacement for traditional computing solutions. It stands as a specialized instrument for those who need to push the boundaries of local AI, rather than a universal upgrade for the average desktop user.

Source: Engadget

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