A compact box PC equipped with a GPU that supports AI inference at the edge.
The "FAS-10100" is a compact box PC suitable for AI inference at the edge, capable of housing NVIDIA RTX A2000/T4/GeForce GTX 1650, among others. The CPU can be selected from the 10th generation Intel Core i processors or Xeon. Despite its small form factor of 210(W)×250(D)×176.6(H)mm, it offers high expandability with three PCI-E slots.
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basic information
【Specifications Partial】 ■ Processor: Intel Core i7-10700E (i9/i5/i3, Xeon options available) ■ Chipset: Intel W480E ■ Memory: 16GB DDR4 non-ECC SO-DIMM (16GB×1) *1 empty slot, maximum 64GB ■ HDD: 256GB SATA SSD x1 *Removable support, 1 empty bay ■ LAN: 1GbE 3 ports (RJ45) *Onboard ■ Interface: 2 x HDMI / 1 x DisplayPort / 4 x USB 3.2 Gen1 / 2 x USB 3.2 Gen2 / 3 x RS232/422/485 / 1 x RS232/422/485/CANBUS ■ Power Supply: 9–36V Wide Range DC Input with Power terminal block to power jack adapter *Includes 330W AC to DC adapter (PSE compliant) *For more details, please visit our website or feel free to contact us.
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Applications/Examples of results
■In-vehicle ■Image analysis ■Appearance inspection and manufacturing equipment ■High-speed image processing device ■Intelligent control
Company information
Our company manufactures and sells computers for businesses (mainly servers and PCs). Our main model is a made-to-order type, where products are manufactured in our own factory starting from just one unit, tailored to the specifications of our customers. We offer a wide range of products, including PCs for manufacturing, high-density and large-capacity servers for data centers, and PCs and workstations for AI and machine learning, catering to the detailed requests of customers that are difficult for major manufacturers to meet. Additionally, we have shipped many servers and PCs that run legacy operating systems such as Windows Server 2012/2008/2003/2000 and Windows XP/7, and we have received numerous inquiries about our "Fanatic Hardware Replacement Service," which allows users who are struggling to afford expensive upgrade costs to transition to new hardware at a low cost.