ASUS
14" Ryzen AI MAX 32G 1T 11H
Out of Stock
ASUS TUF 14" Ryzen AI MAX+ 392, 32 GB, 1 TB | Gaming, AI PC, Windows 11
ASUS
MPN: FA401EA-DS96
$2,199.99
Free shipping on orders over $500
Authorized Dealer — Full manufacturer warranty
Key Features
- AMD Ryzen AI MAX+ 392 processor
- 32 GB RAM
- 1 TB solid-state storage
- 14-inch WQXGA display
- Windows 11 Home
- Non-touch panel
- ASUS TUF Gaming chassis
- Gray finish
Push through modern workloads without giving up mobility. The ASUS TUF Gaming 14-inch model combines Ryzen AI MAX+ 392 processing, 32 GB of memory, and a 1 TB SSD to handle gaming, content creation, and local AI tasks with room to spare. The WQXGA display gives you more working space and cleaner detail than standard Full HD panels, which matters when you are tracking timelines, code, or multiple windows side by side.
Windows 11 Home comes ready for current software and security expectations, while the compact 14-inch form factor keeps the system easy to carry between desks, conference rooms, and travel. The gray finish and TUF chassis language signal a machine built for daily use, not just desk duty. For buyers comparing this against lower-tier laptops, the value is in the balance: higher memory capacity, faster storage, and a display class that supports serious work as well as play.
If you need a portable system that can stay responsive under heavier loads, this configuration is aimed at exactly that. It is a strong fit for users who want one laptop to cover work, creation, and entertainment without compromise.
Ideal For
- Portable gaming and high-refresh productivity on the move
- Local AI-assisted workflows for power users and creators
- Mobile development, analysis, and multitasking across multiple apps
- A premium personal laptop for users who want one system for work and play
Why This Product
- 1More memory headroom than entry-level 16 GB systems
- 2Higher-resolution WQXGA display versus standard Full HD panels
- 31 TB SSD supports larger game and project libraries
- 4Ryzen AI MAX+ platform targets heavier local workloads
