Best ASUS Compact & SFF Desktops in 2026

The Intel Core Ultra 5 225H processor with integrated Arc graphics and dual M.2 slots, including PCIe 5.0, delivers configurable AI-ready performance in a 0.59kg chassis. Its toolless design and comprehensive connectivity, featuring Thunderbolt 4, Wi-Fi 7, and dual HDMI 2.1, simplify deployment and multi-display setups. This barebone kit is best for businesses needing a compact, customizable desktop for digital signage or edge computing.

The Intel Core Ultra 5 235H with integrated Arc 140T graphics and support for up to 96GB of DDR5 memory drives strong productivity in a 0.36kg chassis. Its toolless design and extensive connectivity, including dual HDMI 2.1, Thunderbolt 4, and Wi-Fi 7, make it a highly adaptable and serviceable compact workstation. This barebone kit is best for developers and IT administrators who need a customizable, space-saving system for multi-display coding environments and edge deployments.

The Intel Core Ultra 7 255H processor with Arc Graphics delivers 99 TOPS for AI workloads and an 18% gen-on-gen performance boost in a 0.48L chassis. Its MIL-STD-810H certification, tool-less upgradeable design, and support for four 4K displays via dual HDMI 2.1 and Thunderbolt 4 provide enterprise-grade durability and deployment flexibility. This mini PC is best for developers and IT managers running local AI inference or powering commercial digital signage and kiosks.

The Intel Core Ultra 7 155H processor with a dedicated NPU enables local AI workloads inside a compact, tool-less anodized aluminum chassis. Its extensive connectivity includes dual HDMI 2.1, Thunderbolt 4, and Wi-Fi Sensing for instant availability, all in a 0.59kg package. This mini PC is best for developers and power users who need a customizable, AI-ready desktop for coding and multitasking, not gaming.

The Intel Core Ultra 9 285H with a dedicated AI Boost NPU drives accelerated local AI tasks in a 0.60kg chassis, paired with 32GB of fast 6400 MHz DDR5 RAM. Its toolless upgrade system and extensive connectivity, including five HDMI ports and Wi-Fi 7, offer uncommon flexibility for a mini PC. This system is best for developers and home office users who need a compact, AI-capable workstation for coding and productivity, not gaming.

Packing a 16-core Intel Core Ultra 9 185H with an integrated NPU for AI acceleration into a 0.82kg aluminum chassis, this mini PC delivers full desktop power without the footprint. Its versatile connectivity includes dual HDMI 2.1, Thunderbolt 4, and 2.5G Ethernet, making it a strong fit for multi-display productivity in a sleek, mountable design. This system is best for developers and data analysts running containerized applications or local AI inference who need a quiet, space-efficient workstation.

Combining an Intel Core Ultra 7 255HX with RTX 5060 graphics and DLSS in a 3-liter chassis, this mini PC delivers 18% generational performance gains and supports five 4K displays. Its tool-free upgrade design and QuietFlow cooling with a dual vapor chamber keep the system silent and accessible despite packing a 330W PSU. This is best for gamers and home office users who need a compact, desk-friendly powerhouse with robust multi-monitor connectivity.

Packing an Intel Core Ultra 7 255HX 20-core chip and RTX 5060 graphics into a compact chassis, this mini PC delivers full desktop gaming performance with Wi-Fi 7 and dual HDMI 2.1 outputs. Its 32GB of fast 6400 MHz DDR5 RAM and 1TB NVMe SSD provide a complete, high-spec foundation right out of the box. This system is best for gamers and content creators who need a space-saving, transportable powerhouse for high-frame-rate 1080p or 1440p gaming.

The NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified LPDDR5x memory enables petaflop-scale AI compute in a compact 1.48kg metal chassis. Its stackable design and full-stack DGX OS support secure, private agentic workflows with frameworks like OpenClaw and NemoClaw. This mini workstation is best for AI developers who need to run sandboxed, long-running LLM inference and governed data pipelines on-device.