MINISFORUM MS-S1 MAX Mini AI Workstation PC, AMD Ryzen AI Max+ 395 (16C/32T),RDNA3.5 GPU,64GB LPDDR5 2TB SSD Mini PC,Dual M.2 PCIe 4.0, PCIe x16 Slot, USB4 V2(80Gbps)& Dual 10GbE, 320W PSU,Wi-Fi 7

High-Performance APUThe MS-S1 MAX features an AMD Ryzen AI Max+ 395 APU, integrating a Zen 5 architecture CPU (up to 5.1GH z, 16C/32T, 64M L3 Cache), an RDNA 3.5 GPU, and an NPU (50 TOPS). The total system output is 126 TOPS. It provides powerful parallel computing capabilities for demanding AI workflows. It is ideal for running local LLMs, multimodal models, and computationally intensive tasks ^^ LPDDR5x-8000MT/s Unified MemoryEquipped with 64GB of LPDDR5x-8000MT/s unified memory, 2TB pcle SSD, it enables the CPU and GPU to access a shared, high-bandwidth memory pool with extremely low latency.

This architecture eliminates traditional VRAM bottlenecks, ensuring smoother data transfer during high-intensity computations and maximizing performance stability under heavy loads. It is ideal for large-scale AI inference, 3D workloads, and complex timelines in video editing. ^^ Flexible ExpansionThe MS-S1 MAX features USB4 V2 (up to 80Gbps), dual 10GbE LAN, HDMI 2.1 (up to 8K60), a full-length PCIe x16 expansion slot, and dual M. 2 slots supporting up to 16TB RAID 0/1. Wi-Fi 7 provides stronger signal coverage and a more stable wireless experience. The slide-out design facilitates upgrades and maintenance.

It easily adapts to personal, studio, or rack-mount enterprise environments ^^ High-Efficiency Cooling SystemUtilizing an aerospace-grade aluminum alloy chassis, copper base plate, six heat pipes, dual turbine fans, and advanced PCM thermal conductive material, it maintains stable cooling performance even under continuous load. This system supports 130W continuous power and 160W peak power operation, with a built-in 320W power supply. It boasts multiple global certifications including CCC, FCC, UL, CE, and UKCA, ensuring stable and reliable operation in various environments ^^ Cluster DesignTwo MS-S1 MAX units can be configured as a dual-unit cluster to run a large 235B Q4 model locally, achieving an output speed of 10.87 tok/s.

Supporting 2U rack deployment, multiple MS-S1 MAX units can be cascaded into a distributed cluster to create a high-efficiency AI computing center. A cluster of four MS-S1 MAX units successfully ran a DeepSeek-R1 671B Q4 large model. A reserved cluster power-on interface allows for unified start-up and shutdown ^^ Multi-Scenario Workflow DesignBuilt-in dual DMIC AI noise-canceling microphones support mainstream AI models and can clearly capture voice commands. Four switchable modesperformance mode, balanced mode, silent mode, and rack modeflexibly adapt to various application scenarios from personal desktops to enterprise clusters