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Dual Full-length GPU Expandable Computer  (GP Series)

Dual Full-length GPU Expandable Computer (GP Series)

GP Series is an expandable high-performance GPU computer. An Intel® workstation-grade processor and up to two 250W full-length graphic cards provide unparalleled performance within a total 720W power budget. GP Series features the unique GPU Expansion Box (GEB) design, whereby a single- or dual-GPU GEB is attached to the main embedded system to add GPU processing power. The additional GPU performance massively accelerates complex industrial AI and machine vision tasks.

GP Series is engineered to deliver superior performance, fast data storage, and high-speed I/O connectivity. The combination of high-quality mechanical design and industrial ruggedness (MIL-STD-810H compliance) brings new possibilities and innovative transformations for AI applications at the edge. #GPU computer

Dual Full-length GPU Expandable Computer (GP Series)

GP Series is an expandable high-performance GPU computer. An Intel® workstation-grade processor and up to two 250W full-length graphic cards provide unparalleled performance within a total 720W power budget. GP Series features the unique GPU Expansion Box (GEB) design, whereby a single- or dual-GPU GEB is attached to the main embedded system to add GPU processing power. The additional GPU performance massively accelerates complex industrial AI and machine vision tasks.

GP Series is engineered to deliver superior performance, fast data storage, and high-speed I/O connectivity. The combination of high-quality mechanical design and industrial ruggedness (MIL-STD-810H compliance) brings new possibilities and innovative transformations for AI applications at the edge.
 
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GPU Expansion Box

GP Series embedded computer supports the expansion of up to two 250 W 328 mm full-length graphics cards as well as other PCIe add-on cards through GPU Expansion Box (GEB). The powerful GPU-based acceleration can be incorporated into edge computing solutions to provide intensive processing parallelism and performance-driven analytics.
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