ASUS ProArt P16 Launches With NVIDIA Chipset, Targeting High-End AI Workloads

The new laptop features a premium build and strong AI performance but comes with a steep price tag and compatibility questions for general users.

By Valentina Cruz ·

ASUS has introduced the ProArt P16, the first laptop to feature NVIDIA's RTX Spark chipset, a move that signals a significant departure from the company's previous reliance on Intel and AMD processors. While the hardware is impressive, the device is primarily designed for creators and AI professionals rather than the general public. The unit reviewed costs $7,000 with 128GB of RAM, positioning it as a high-end tool for running local AI models in a relatively slim aluminum chassis.

The development of this platform represents a strategic shift for Microsoft and NVIDIA, who have promoted RTX Spark as a reinvention of the PC. This new system-on-a-chip combines a 20-core Arm CPU with a Blackwell GPU and up to 128GB of unified memory. This architecture mirrors the design of Apple's M-series chips, creating a new branch of PC design intended to sit alongside existing x86 hardware and Qualcomm's Snapdragon X chips rather than replacing them entirely.

The timeline for this transition has been shaped by the growing demand for AI capabilities. ASUS previously used Snapdragon X2 Elite chips in models like the A16. The introduction of the RTX Spark platform suggests a competitive push to offer more memory-intensive options. However, the high cost of RAM, driven by AI demand, means that this platform is unlikely to lower prices for consumers in the near term.

In terms of performance, the ProArt P16 shows mixed results. It scored approximately 3,000 points lower than the ASUS A16 in PCMark 10 Applications and trailed slightly in single-threaded CPU tests. However, it excelled in graphics and AI tasks, outperforming a MacBook Pro with an M5 Max by 4,700 points in GPU tests and leading in Procyon AI benchmarks. The laptop successfully ran large language models like Qwen3.8 27B, which requires 42GB of RAM, with room to spare.

Gaming performance is capable but comes with caveats. The hardware is comparable to the RTX 5070 mobile GPU while drawing less power. In tests, the laptop achieved 70 frames per second in Control: Resonant at 1440p with ultra settings and medium ray tracing. However, most games rely on Microsoft's Prism emulator for the Arm CPU, which can reduce performance and cause issues. Native Arm64 builds exist for titles like Fortnite and DOTA 2, but compatibility remains a concern for some multiplayer games.

The physical build of the ProArt P16 received positive feedback. The 3.9-pound aluminum chassis is sturdier than the 4.7-pound Apple 16-inch MacBook Pro. It features a bright 16-inch OLED display, a generous keyboard, and a large haptic touchpad. The port selection includes three USB-C connections, USB Type A, HDMI, a headphone jack, and an SD card reader, though it lacks Ethernet.

Some aspects of the laptop were less favorable. The black finish is prone to fingerprints, and battery life in applications tests reached ten hours and 51 minutes, which is lower than the 15-plus hours found in many premium competitors. Performance did not degrade when the laptop was unplugged. The display reached 1,600 nits, making it one of the brightest screens available on a laptop.

The future for the RTX Spark platform appears promising for specific niches. AI researchers and enthusiasts are the clear target buyers who can justify the $2,800 starting price and the steep cost increases for higher memory configurations. For general users and gamers, the recommendation is to wait at least a year. The ASUS Zephyrus G16, available at $2,124 with an RTX 5070 and a 240Hz OLED screen, currently offers better gaming performance and full compatibility for a lower cost.

As NVIDIA continues to work with anti-cheat companies and software developers like Adobe, the ProArt P16 stands as a specialized tool. It is not a replacement for traditional gaming or office laptops but rather a dedicated machine for those who need local AI processing power. The market will watch to see if this new Arm-based approach from NVIDIA can sustain its edge against established x86 competitors.

Source: Engadget

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