Cincoze GM-1000's New Quadro MXM GPU Modules Satisfy Machine Vision Performance Requirements

By Tiera Oliver

Associate Editor

Embedded Computing Design

February 01, 2021


Cincoze GM-1000's New Quadro MXM GPU Modules Satisfy Machine Vision Performance Requirements

Cincoze, a professional manufacturer of embedded systems, expanded the Cincoze GM-1000’s machine vision application performance with two new Quadro MXM GPU modules.

Building on the GM-1000’s processing base, the MXM-RTX3000 and MXM-T1000 provide the additional GPU capacity for rapid adoption of machine vision in smart factories, from simple environmental perception applications such as positioning, measurement, identification, and sorting, to more complex vision-guided automation functions. GPU requirements for each scenario are different, so specifications must match the environment and application. The two new Quadro MXM GPU modules broaden the GM-1000's available selection to cover a wider range of uses.  

The GM-1000, part of the Cincoze GOLD series, is positioned as a high-performance machine vision system featuring high computing performance, high-speed I/O, and industrial-grade reliability. Per the company, it is the preferred choice for machine vision system integrators and AOI (Automated Optical Inspection) manufacturers. 

The GM-1000's carrier board can be matched with a selection of Cincoze MXM GPU modules, including the MXM-RTX3000, MXM-T1000, MXM-P2000, and MXM-E9174, providing a precise match for different computing requirements. The GM-1000 only needs a carrier board and MXM GPU module replacement to facilitate future performance upgrades without replacing the computer host.

The new Quadro MXM GPU modules, the MXM-RTX3000 and MXM-T1000, use the latest NVIDIA Quadro Turing GPU architecture based on the latest 12nm process. 

In terms of core computing power and performance, the MXM-RTX3000 has 1920 CUDA cores, 5.3 TFLOPS peak FP32 high-end computing power, parallel integer execution, AI computing Tensor core, and specialized RT core for ray tracing. Together these provide integrated GPU features to face complex visual image calculations. The MXM-T1000 has 896 CUDA cores, 2.6 TFLOPS peak FP32 computing power, and only 50W power consumption for power-conscious high-speed computing.

Both models support GDDR6 memory. The MXM-RTX3000 has a single card capacity of up to 6 GB and 336 GB/s memory bandwidth. The MXM-T1000 has 4 GB capacity and 192 GB/s memory bandwidth. Per the company, the faster memory smooths data reading and multiplies computing performance.

In addition, both modules have different form factors, the MXM-RTX3000 sporting an MXM 3.1 Type B form factor, while the MXM-T1000 has a Type A form factor, allowing for free choice according to the situation. 

Cincoze's GM-1000 embedded system is tailored for machine vision. It also meets the long-term supply demands of the industrial field, providing extended availability of fifteen years for the GM-1000 and five years for the two Quadro MXM GPU modules.

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Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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