From machine learning to gaming to edge computing, compact desktops now support serious AI workloads without expanding digital footprint or power.
As AI workloads move closer to the edge, organizations face growing pressure to deploy computing platforms that deliver high performance, reliability and intelligence without increasing physical footprint or energy demands. From enterprise AI development to gaming and industrial use, compact systems must now support advanced processing, graphics and dedicated AI acceleration within space constrained environments.
ASUS has unveiled a lineup of ultrasmall form factor PCs designed to address these demands across enterprise, consumer and enthusiast segments.
The portfolio include:
- ASUS NUC 16 Pro,
- ExpertCenter PN55,
- ROG GR70 gaming mini PC and
- ASUS Ascent GX10 AI desktop system
Built on Intel, AMD and NVIDIA platforms, the line-up targets creators, developers, office professionals, gamers and AI researchers seeking scalable performance in compact designs.
The systems support a wide range of applications including AI powered machine learning, data analytics, content creation, gaming and edge deployment. ASUS positions the lineup as enterprise ready, combining advanced AI acceleration with proven reliability and efficient thermal design. Select models integrate dedicated NPUs and GPUs to enable local AI processing, reduce latency and support secure on device workloads.
Key technology features include:
- Up to 180 TOPS AI performance with Intel Core Ultra Series 3 processors
- Up to 55 TOPS NPU performance with AMD Ryzen AI 400 Series
- High performance gaming powered by AMD Ryzen 9 CPUs and NVIDIA GeForce RTX Laptop GPUs
- Compact desktop AI computing enabled by NVIDIA GB10 Grace Blackwell Superchip
- Enterprise grade connectivity, cooling, and reliability testing
With this expanded line-up, ASUS reinforces its strategy of delivering intelligent, high performance computing across diverse use cases. The systems highlight how compact PC platforms are evolving to support AI first workloads while maintaining reliability, efficiency and flexibility for the next generation of computing.
