Best ASUS Compact & SFF Desktops in 2026

With its Intel Core Ultra 7 255H processor delivering up to 99 Platform TOPS and integrated Arc graphics, this 0.48-liter mini PC handles AI workloads and drives up to four 4K displays, all within a MIL-STD-810H-certified chassis. Tool-less access to dual-channel DDR5 memory (up to 96GB) and PCIe Gen5 storage simplifies upgrades, while Intel vPro and Wi-Fi 7 provide enterprise-grade manageability and connectivity. Best for developers and IT teams deploying AI-enhanced edge computing nodes or multi-display kiosks in space-constrained, rugged environments.

Featuring an Intel Core Ultra 7 258V processor and integrated Intel Arc GPU with 16GB VRAM, this mini PC delivers 120 platform TOPS for AI workloads in a sub-0.6-liter chassis. It further stands out with enterprise-grade security via TPM 2.0 and fingerprint recognition, plus TAA compliance, Wi-Fi 7, and Thunderbolt 4 connectivity. This system is best for IT managers and business users who need a compact, secure desktop for AI-assisted productivity and edge computing.

Equipped with the NVIDIA GB10 Grace Blackwell Superchip and 128GB of LPDDR5x memory, this 1.48kg mini PC delivers 1 petaFLOP of AI performance, enabling on-device fine-tuning of 200-billion-parameter models. Its NVLink-C2C interconnect and ConnectX-7 dual-stacking support scale seamlessly, while the advanced thermal design sustains full load in a tiny desk-friendly chassis. Best for AI developers who need a private, local system to run agentic workflows with frameworks like OpenClaw and NemoClaw without cloud dependency.

A 20-core Intel Core Ultra 7 255HX with a dedicated NPU and GeForce RTX 5060 graphics deliver AI-accelerated performance in a small 3.12kg chassis. The 32GB of 6400 MHz DDR5 RAM, 1TB NVMe SSD, and Thunderbolt 4 with Wi-Fi 7 enable fast data transfers and future-ready connectivity. It best suits AI developers and content creators who need a compact, moderately powerful machine for machine learning tasks and 1080p gaming.