Best ASUS Content Creation Desktops in 2026

The Intel Core Ultra 7 255H with 16 cores and integrated Arc 140T GPU delivers AI-ready performance in a 0.36kg chassis. 64GB DDR5 RAM and a 2TB NVMe SSD provide ample memory and storage for multitasking and large files. This professionally upgraded mini PC is best for developers and home-office users who need a compact, high-memory system for coding and productivity.

The 2.4 GHz Intel Core Ultra 5 235H 14-core processor with integrated Arc 140T graphics delivers solid productivity in a 0.36 kg chassis, supported by 96GB DDR5 RAM and a 1TB NVMe SSD. Its toolless design and dual M.2 slots (PCIe 5.0 and 4.0) make upgrades straightforward, while Wi-Fi 7 and Thunderbolt 4 ensure fast connectivity. Best for developers and home-office users who need a compact, customizable desktop for coding and multitasking, not for gaming.

The Intel Core Ultra 7 265F 20-core processor and 32GB DDR5 RAM handle demanding games and multitasking, while the NVIDIA GeForce RTX 5060 DUAL 8GB GPU delivers smooth visuals. Standard-sized components make future upgrades straightforward, and the 2048GB SSD provides ample storage for large game libraries. This desktop suits gamers who prioritize performance and easy customization over compact size.

The Intel Core Ultra 7 16-core CPU and NVIDIA GeForce RTX 5060 with 8GB VRAM deliver strong gaming and AI performance in a 3.12kg mini PC, supported by triple-fan QuietFlow cooling and dual vapor chambers for quiet operation. Its 96GB DDR5 RAM and Thunderbolt connectivity, plus support for five 4K displays via HDMI 2.1 and DisplayPort 2.1, make it a flexible workstation. Best for gamers and developers who want desktop-class power in a compact, upgradeable chassis with tool-free access.

The NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified LPDDR5x RAM delivers petaflop-scale AI performance in a 1.48kg stackable metal chassis, making it a compact powerhouse for on-device inference. Its NVIDIA DGX OS, 10GbE LAN, and support for OpenClaw and NemoClaw enable secure, long-running agentic workflows with sandboxed execution and governed data access. This workstation is best for AI developers building and deploying private, full-stack LLM and agentic applications who need local compute without cloud dependency.