EOS-i6000-P Series

The Tech Square AI Plug-and-Play (PnP) Solution is a set of The Tech Square AI Plug-and-Play (PnP) Solution is a set of Tech Square AI edge hardware and data connectivity platforms that help our partners build and deploy AI solutions faster and simpler. With Tech Square Data River™ enabled at AI edge platforms, devices, AI inferences, and data integrations, the AI PnP Solution offers a cross-platform, flexible, scalable solution that delivers business value.

Tech Square AI Plug-and-Play (PnP) EOS-i6000-P Series is designed for deep-learning inference AI GigE Vision Systems. The pre-installed AI development component reduces testing and integration time, saves personnel costs, and speeds up your time to market.

EOS-i6000-P Series passed an extreme validation process to provide high reliability in power consumption, thermal control, and compatibility; therefore, there is no need to worry about the integration of hardware and software. The high-performance EOS-i6000-P Series supports up to 1280 CUDA cores and provides 5GB GPU memory, thus being ideal for high-speed detection and classification applications with deep learning.

Tech Square provides optimized imaging hardware/firmware/software performance tuning based on 20-years’ expert experience in machine vision, including image data transfer performance tuning between CPU to GPU collaboration, to find the best configuration and provide the best service. AI Plug-and-Play (PnP) Solution is a set of Tech Square AI edge hardware and data connectivity platforms that help our partners build and deploy AI solutions faster and simpler. With Tech Square Data River™ enabled at AI edge platforms, devices, AI inferences, and data integrations, the AI PnP Solution offers a cross-platform, flexible, scalable solution that delivers business value.

Tech Square AI Plug-and-Play (PnP) EOS-i6000-P Series is designed for deep-learning inference AI GigE Vision Systems. The pre-installed AI development component reduces testing and integration time, saves personnel costs, and speeds up your time to market.

EOS-i6000-P Series passed an extreme validation process to provide high reliability in power consumption, thermal control, and compatibility; therefore, there is no need to worry about the integration of hardware and software. The high-performance EOS-i6000-P Series supports up to 1280 CUDA cores and provides 5GB GPU memory, thus being ideal for high-speed detection and classification applications with deep learning.

Tech Square provides optimized imaging hardware/firmware/software performance tuning based on 20-years’ expert experience in machine vision, including image data transfer performance tuning between CPU to GPU collaboration, to find the best configuration and provide the best service. AI edge hardware and data connectivity platforms that help our partners build and deploy AI solutions faster and simpler. With Tech Square Data River™ enabled at AI edge platforms, devices, AI inferences, and data integrations, the AI PnP Solution offers a cross-platform, flexible, scalable solution that delivers business value.

Tech Square AI Plug-and-Play (PnP) EOS-i6000-P Series is designed for deep-learning inference AI GigE Vision Systems. The pre-installed AI development component reduces testing and integration time, saves personnel costs, and speeds up your time to market.

EOS-i6000-P Series passed an extreme validation process to provide high reliability in power consumption, thermal control, and compatibility; therefore, there is no need to worry about the integration of hardware and software. The high-performance EOS-i6000-P Series supports up to 1280 CUDA cores and provides 5GB GPU memory, thus being ideal for high-speed detection and classification applications with deep learning.

Tech Square provides optimized imaging hardware/firmware/software performance tuning based on 20-years’ expert experience in machine vision, including image data transfer performance tuning between CPU to GPU collaboration, to find the best configuration and provide the best service.