MSI unveils Artificial Intelligence focused EdgeXpert mini PC on Nvidia DGX Spark platform

MSI used CES 2026 to detail its new Artificial Intelligence centric mini PC lineup, led by the EdgeXpert system built on Nvidia's DGX Spark platform and targeting local large language model workloads.

MSI has revealed the specifications of a new Artificial Intelligence centric mini PC lineup at CES 2026, positioning the systems for users who want to run local large language models and similar Artificial Intelligence workloads. The range spans compact x86 designs using AMD’s RDNA 3.5 graphics, configurations with an NVIDIA RTX 5070, and a more experimental option built around Nvidia’s new Arm based DGX Spark platform. This spread is intended to give developers and power users multiple performance and form factor choices while keeping the focus on on device Artificial Intelligence compute.

The standout product in the lineup is the EdgeXpert mini PC, which MSI is targeting squarely at Artificial Intelligence developers. The EdgeXpert is built on Nvidia’s DGX Spark platform, which was announced earlier this year, and is designed to serve as a personal Artificial Intelligence supercomputer rather than a general purpose desktop. By using the same foundational platform as larger Artificial Intelligence systems, MSI is aiming to bring data center style hardware capabilities into a compact workstation footprint for advanced local experimentation.

In the EdgeXpert configuration, that DGX Spark foundation translates to 20 Arm CPU cores paired with an Artificial Intelligence Blackwell GPU, connected using Nvidia’s NVLink C2C technology, which claims to offer ‘five times the bandwidth of PCIe 5.0,’ to improve data transfer and sharing between the CPU and GPU. According to MSI, the EdgeXpert is capable of a petaFLOP of Artificial Intelligence performance. The system also features 128 GB of LPDDR5x unified system memory and a vapor chamber cooling system to manage thermals within the compact chassis while sustaining high performance workloads.

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