New ASUS Laptop Targets AI Pros, Not Gamers

A new laptop from ASUS promises to change how people think about personal computing, yet it is built for a very specific group. The ProArt P16 runs on a new chip from NVIDIA, but the hardware is tuned for running artificial intelligence models rather than for casual use. This creates a tension between the device's powerful capabilities and its high price tag.

The machine is designed for creators who need serious power. It breaks away from the usual Intel or AMD processors found in most laptops. Instead, it uses the RTX Spark, a system on a chip that combines a 20 core Arm CPU with a Blackwell GPU. This design is similar to what Apple uses in its own devices, with up to 128GB of unified memory available.

Performance in AI tasks is the main highlight. The laptop handled large language models with ease, leaving plenty of memory unused. It also beat a top-tier Apple laptop in graphics tests by a significant margin. For those working on computer vision or image generation, the speed gains are clear and substantial.

However, the cost is steep. The base model starts at $2,800. The version tested, which includes the maximum amount of memory, costs $7,000. While the laptop can play games well, buyers would pay much more for it than for a dedicated gaming machine. A comparable ASUS gaming laptop is available for $2,124, which offers better compatibility for most titles.

The build quality is solid. The aluminum frame is sturdy, and the 16 inch OLED display is very bright, reaching 1,600 nits. The keyboard is comfortable, and the touchpad is large. The laptop weighs 3.9 pounds, which is lighter than the 16 inch MacBook Pro. It includes a good selection of ports, including a full size SD card reader, though it lacks an Ethernet port.

There are some drawbacks to consider. Battery life lasted about 11 hours in testing, which is less than many other premium laptops. The black finish shows fingerprints easily. Performance did not drop when unplugged, but the fans can get loud during heavy gaming sessions. Most games rely on an emulator for the Arm processor, which can slow down performance and cause issues with anti cheat systems.

Software support is growing but not complete. Adobe has brought its main applications to this platform. However, other multimedia tools may not work as smoothly. Native versions exist for some popular games, but many others still need emulation. This makes the laptop a risky choice for gamers who want a seamless experience.

For now, this device is best suited for AI researchers and enthusiasts. The high memory capacity makes it ideal for running large models locally. General users and gamers might want to wait a bit longer. The review suggests that waiting at least a year could be wise as the software ecosystem matures and prices potentially stabilize.