The Asus TUF Gaming A14 (FA401EA) packs discrete-class graphics performance into a surprisingly portable form factor. Measuring just 1.98 cm (0.78 inches) thick and weighing 1.48 kg (3.26 lbs), the 14-inch gaming laptop features a 2560 x 1600 pixel 165 Hz display and AMD's new Ryzen AI Max+ 392 processor with integrated Radeon 8060S graphics. The laptop is available now for $2,200 (€2,024).

The Ryzen AI Max+ 392 is one of AMD's latest Strix Halo chips, featuring 12 cores and 24 threads with a 5 GHz boost clock and 76MB cache. Its integrated Radeon 8060S graphics delivers 40 compute units running at up to 2.9 GHz, providing performance comparable to discrete GPUs. The laptop comes configured with 32GB of soldered LPDDR5x-8000 memory and a 1TB PCIe Gen 5.0 SSD, with a second M.2 slot available for storage expansion.

For Linux users, the Radeon 8060S works well on modern distributions released in 2025 or later, with open-source Mesa RADV and AMDVLK drivers providing Vulkan support. Linux kernel 6.18.4 or newer is required for stability on the Strix Halo platform, with distributions like Fedora 42 and Ubuntu 25.04 providing good baseline compatibility. While Asus does not officially support Linux on this model, the underlying Strix Halo hardware benefits from upstream kernel support and community tooling through projects like asus-linux.org.

Port selection includes USB4 Type-C with 40 Gbps speeds plus video and charging support, a second USB 3.2 Gen 2 Type-C port with video output, two USB 3.2 Gen 2 Type-A ports, HDMI 2.1, a 3.5mm audio jack, and a UHS-II microSD card reader. Other features include a 73 Wh battery, WiFi 6E and Bluetooth 5.3, a 1080p IR webcam, and single-zone keyboard backlighting.

The Ryzen AI Max+ 392 sits slightly below the Ryzen AI Max+ 395 in AMD's lineup, trading four CPU cores and 4MB of cache for a lower price point while maintaining identical graphics capabilities. Both chips feature the same 40-compute-unit Radeon 8060S GPU running at 2.9 GHz, making the 392 a compelling option for gaming workloads where GPU performance matters more than maximum CPU core count.