The Computex 2026 stage becomes an opportunity for Asus to outline its strategy for integrating artificial intelligence within the entire catalog of consumer products. The new range presented in Taipei ranges from the traditional segments of portable and desktop computers to the return to the tablet sector, focusing decisively on the Copilot+ PC category. The hardware architecture sees a convergence between the latest generation processing platforms from Intel, AMD and Snapdragon and Nvidia graphics compartments, with the aim of making workflows based on AI models a native and local experience for the common user.
On the mobility front, the Zenbook 14 line is renewed by maintaining the ultra-light 1.2 kilogram Ceraluminum body, but raising the performance of the NPU up to 50 TOPS. The declared autonomy exceeds 21 hours, supported by connectivity that adopts either x86 or ARM architectures. However, the approach for the Vivobook S series changes, in the 14 and 16 inch variants also in a 360 degree convertible Flip configuration: in this case the choice of processors has fallen exclusively on the Snapdragon
The diversification of the offer also affects the domestic environment with the V series desktops, characterized by Mini Tower chassis with wooden finishes that recall the modern canons of interior design, which can be equipped with Intel Core Ultra 9 processors and NVIDIA GeForce RTX Series 50 video cards. The real breakthrough novelty, however, is represented by the Asus Pad, a device that marks the brand’s return to the tablet market. The terminal comes with a thickness of 6.5 millimeters and a 12.2-inch dual-layer OLED panel at 144 Hz, powered by the MediaTek Dimensity 8300 SoC and integrated with Google’s software features, including Circle to Search.
In parallel with the hardware, the Taiwanese manufacturer introduces proprietary software solutions for managing generative workflows. At the center of this ecosystem is Zenni Claw, a virtual assistant designed to simplify access to agent-based artificial intelligence functions, alternating local and cloud processing to ensure data confidentiality. For graphics professionals, the MuseTree platform is also implemented, based on the FLUX.2 model and optimized for RTX GPUs, capable of generating images and video content almost instantly using dedicated hardware accelerations.
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