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Intel® Core™ Ultra 200S AI computing platform Fanless mini pc
Edge AI Computer

Intel® Core™ Ultra 200S AI computing platform Fanless mini pc

  1. CPU:Supports Intel® Core Ultra 200S CPUs (LGA 1851 socket, 65W/35W)
  2. Memory: 1*SODIMM slot, supporting up to 64 GB DDR5 6400 memory
  3. Image: Integrated Intel® Xe LPG Graphics
  4. Display interfaces: 1 HDMI port, supporting a maximum resolution of 3840 x 2160; 1 DisplayPort port, supporting a maximum resolution of 3840 x 2160.
  5. Storage: 1*easily replaceable 2.5" drive bay (can install 7mm hard drives/SSDs), 1*M.2 2280 M-key slot (PCIe Gen4x4), supporting NVMe SSDs.
  6. Ethernet: 4*2.5GBASE-T Ethernet ports with locking screws, using an Intel I226 Gigabit Ethernet controller. Port 4 supports Wake-on-Network (WOL).
  7. USB: 4 USB 3.2 Gen1 (5 Gbps) ports, 2 USB 2.0 ports
  8. Dimensions: 212 mm (W) x 165 mm (D) x 63 mm (H),weight about 2.2kg
  9. Suitable for: robotic arms, AMRs, machine vision systems, and roadside cabinets
  • Model SIN-31A4-H810
  • Size 212x165x63mm

This is a compact, fanless embedded AI computing platform powered by the Intel® Core™ Ultra 200S series. Measuring only 212 x 165 x 63 mm, it is ideal for deployment in confined spaces such as robotic arms, AMRs, machine vision systems, and roadside cabinets.

Despite its small size, performance is not compromised. Thanks to advanced 3nm lithography, the Intel® Core™ Ultra 200S processor delivers nearly 120% more performance while consuming only 80%* of the power. Furthermore, the Intel® Core™ Ultra 200 processor integrates a new NPU and GPU, providing up to 36 TOPS of AI computing power, enhancing AI detection capabilities for existing rule-based machine vision algorithms.

As a compact embedded computing platform, this fanless mini pc offers excellent computing performance and rich I/O connectivity. It is ideal for various industrial and edge applications, such as smart factories, autonomous logistics, smart cities, and robotics, and is particularly suitable for deployment in space-constrained environments.


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