# EOS-i6000-P Series

# Compact AI GigE Vision Systems for the Edge with NVIDIA® Quadro® GPU

# Features

● Pre-installed AI development component reduces testing and integration efforts thus accelerating time-to-market
● High product reliability guaranteed by well-validated power consumption, thermal design, and compatibility
● Optimized hardware design and performance tuning for AI vision applications
● Widely supports the NVIDIA GPU portfolio to satisfy various deeplearning applications

![MAS-H\nNVIDIA.\nGiGE®\nVISION\nEOS-i614A-P1000](.eos-i6000-p-series-datasheet-20210831/9f07c77dffdc0aeb109fd2d3ab63e41fc5e25f843835b1476bef1fc31759a9c2.jpg)

![Matrix\nNVIDIA.\nGiGE®\nVISION\nQUADRO\nEOS-i614A-P2200](.eos-i6000-p-series-datasheet-20210831/808848efe58bff7092d9ada0a287f786834ab5e4d4fdda90d28cee15beacfc24.jpg)

# Introduction

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

ADLINK 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 compact EOS-i6000-P Series supports up to 1280 CUDA cores and provides 5GB GPU memory, thus being ideal for object classification and detection application with deep learning.

ADLINK 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 best service.

# Software Support

Windows® 10 / Linux Ubuntu 18.04
. CUDA
. TensorRT
. TensorFlow
. Python
● cuDNN
● euresys
. EdgeSDK

# Ordering Information

● EOS-i614A-P1000
4-ch GigE Vision System with 9th Gen Intel® Core™ i7-9700E processor, NVIDIA® Quadro™ P1000, 16GB DDR4, and 512GB SSD
● EOS-i614A-P2200
4-ch GigE Vision System with 9th Gen Intel® Core™ i7-9700E processor, NVIDIA® Quadro™ P2200, 16GB DDR4, and 512GB SSD
● AC/DC Adapter
280W (P/N: 91-95263-0010)

Specifications

<table><tr><td>Model Name</td><td>EOS-i614A-P1000</td><td>EOS-i614A-P2200</td></tr><tr><td colspan="3">System Core</td></tr><tr><td>Camera Interface</td><td colspan="2">4-ch Gigabit PoEIEEE 802.3at compliant, total max. POE output 30W</td></tr><tr><td>Processor</td><td colspan="2">9th Gen Intel® CoreTM i7-9700E, 65W, 8 cores, base freq. 2.6G/ max. freq. 4.2G Hz</td></tr><tr><td>Chipset</td><td colspan="2">C246</td></tr><tr><td>Memory</td><td colspan="2">16GB DDR4 2400MHz, dual SODIMMs</td></tr><tr><td>Storage</td><td colspan="2">512GB SSD</td></tr><tr><td>GPU</td><td>NVIDIA® Quadro® P1000</td><td>NVIDIA® Quadro® P2200</td></tr><tr><td>GPU Memory</td><td>4GB</td><td>5GB</td></tr><tr><td>CUDA Cores</td><td>640</td><td>1280</td></tr><tr><td colspan="3">I/O Interface</td></tr><tr><td>Display</td><td colspan="2">2x DP++, DVI-D, VGA</td></tr><tr><td>Expansion Slots</td><td colspan="2">PCIe x16 + 2 PCIe x4 + PCI</td></tr><tr><td>Ethernet</td><td colspan="2">3x Intel GbE: 2x i211AT + i219iAMT support</td></tr><tr><td>Serial Ports</td><td colspan="2">COM1/2: RS-232/422/485, COM3/4: RS-232Optional: COM5/6 RS-232 (shared w/ DI/O)</td></tr><tr><td>USB</td><td colspan="2">3x USB3.1 Gen2 + 3x USB2.0, 1x internal USB2.0 dongle</td></tr><tr><td>Audio</td><td colspan="2">Line-out, Mic-in (Optional: speaker-out)</td></tr><tr><td>Mini PCIe</td><td colspan="2">1x Full size (USB 2.0 + PCIe)</td></tr><tr><td>M.2</td><td colspan="2">1x 2280/3042: USB3.1, SATA III and PCIe x2</td></tr><tr><td>USIM</td><td colspan="2">2</td></tr><tr><td>DI/O</td><td colspan="2">8-ch DI and 8-ch DO</td></tr><tr><td>I2C</td><td colspan="2">2 (3.3V/5V)</td></tr><tr><td>TPM2.0</td><td colspan="2">Yes</td></tr><tr><td colspan="3">Storage Device</td></tr><tr><td>2.5&quot; SATA</td><td colspan="2">4x internal</td></tr><tr><td>CFast</td><td colspan="2">1 Type II</td></tr><tr><td colspan="3">Mechanical</td></tr><tr><td>Dimensions</td><td colspan="2">206 (W) x 240 (D) x 210 (H) mm (8.11&quot; x 9.45&quot; x 8.27&quot;)</td></tr><tr><td colspan="3">Power Supply</td></tr><tr><td>DC Input</td><td colspan="2">12-24V (± 10% tolerance)</td></tr><tr><td>AC Input</td><td colspan="2">280W AC/DC adapter</td></tr><tr><td colspan="3">Environmental</td></tr><tr><td rowspan="3">Operating Temperature</td><td colspan="2">Standard: 0°C to 50°C, w/ air flow</td></tr><tr><td colspan="2">Extended Temperature (w/ Ind. storage), w/ air flow</td></tr><tr><td colspan="2">-10°C to 50°C</td></tr><tr><td>Storage Temperature</td><td colspan="2">-40°C to 85°C (-40°F to 185°F) (excl. storage)</td></tr><tr><td>Humidity</td><td colspan="2">~95% @ 40°C (non-condensing)</td></tr><tr><td>Vibration</td><td colspan="2">Operating: 5 Grms, 5-500 Hz, 3 axes (w/2.5&quot; SSD/CFast)Operating: 0.5 Grms, 5-500 Hz, 3 axes (w/ HDD)</td></tr><tr><td>Shock</td><td colspan="2">Operating: 50 Grms, half sine 11ms duration (w/ 2.5&quot; SSD/CFast)</td></tr><tr><td>ESD</td><td colspan="2">Contact +/-4KV, Air +/-8KV</td></tr><tr><td>EMC</td><td colspan="2">EN61000-6-4/-2, CE &amp; FCC Class A</td></tr><tr><td>Safety</td><td colspan="2">UL/cUL, CB, CCC</td></tr><tr><td>OS Support</td><td colspan="2">Windows® 10 / Linux Ubuntu 18.04</td></tr><tr><td>Embedded OS</td><td colspan="2">Windows® 10</td></tr><tr><td>Software</td><td colspan="2">Pre-installed AI Software Suite</td></tr></table>

Note: Specific supported Linux version information available upon request
[🔗 Link to the original document](.eos-i6000-p-series-datasheet-20210831/eos-i6000-p-series-datasheet-20210831.pdf)