WNAI-E800
Intel® 12th/ 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer

Key Features

Supports Intel® 12/14th generation Alder LakeS/Raptor Lake S processor (LGA 1700)
Supports single NVIDIA RTX™A4000/A5000/A6000 GPU
Up to 2 x 262pin SODIMM DDR5 4800MHz up to 64GB(32GB per Slot)
2 x Intel 2.5 Gigabit LAN. Optional addtional 4 Gigabit LAN.
Supports Two display, 1 x HDMI 2.0, 1 x DP 1.4a
Supports Intel® vPro
Rugged Design, -40°C to 60°C operation (Optional)

Introduction

Winmate Edge AI Computing empowers industries with advanced AIoT capabilities by combining powerful processors, integrated AI acceleration, and robust connectivity. Designed for diverse applications such as manufacturing, healthcare, and smart cities, it supports seamless cloud integration and AI-assisted analytics for real-time insights. With optional support for Intel®, Hailo AI chips, and NVIDIA GPUs, along with low-latency AI inferencing and rugged designs, Winmate’s solutions offer scalability, efficiency, and adaptability, redefining performance standards for AI-driven industrial IoT.

Overview

Winmate AI Edge Computing WNAI-E800 powered by Intel processor and chipset for advanced computing, faster data processing, and efficient AI algorithm execution.

Advanced Processing Performance

Powered by Intel’s processor and chipset, Winmate’s AI Edge Computing demonstrates advanced computing capabilities, facilitating quicker data processing and analysis. It supports the execution of advanced AI algorithms and models, while also optimizing power consumption, a critical factor in AIoT deployments where energy efficiency is a priority.

Winmate AI Edge Computing WNAI-E800 with Versatile I/O Inputs for Efficient Sensor Data Processing, Seamless Integration, and Diverse Connectivity Options.

I/O Diversity with Intelligent Gateway Design

Winmate's AI Edge Computing offers a range of I/O inputs designed to efficiently interface with and process data from various sensors. It provides flexibility to adapt to different industry needs and offers scalability, allowing for the seamless integration of new sensors or devices. Additionally, it facilitates diverse connectivity options.

Efficient Temperature Management

Effective temperature management is vital for preventing excessive heat buildup, a factor that can lead to hardware degradation over time. By sustaining a controlled operating temperature, Winmate’s AI Edge Computing ensures enhanced longevity and durability, thereby minimizing the risk of component failures.

Winmate AI Edge Computing WNAI-E800 with Cloud Integration for Seamless AI Application and Collaborative Learning with Cloud Devices.

Seamless Cloud Connectivity

Winmate's AI Edge Computing features a Cloud integration, provide a seamless scalability option for AI applications. The integration with Cloud facilitates collaborative learning, allowing the AI Edge Computing to share data and insights with other cloud-connected devices.

Winmate AI Edge Computing WNAI-E800 support NVIDIA RTX™ A4000/A5000/A6000 GPU compatibility for enhanced AI-assisted defect inspection and deep learning.

AI-Driven Analysis with NVIDIA GPU Power

Winmate's AI Edge Computing is compatible with NVIDIA RTX™ A4000/A5000/A6000 GPUs, enhancing its capabilities for AI-assisted defect inspection. This compatibility ensures a remarkable visual experience for image projection while optimizing performance for AI machine and deep learning applications.

Powered with Optional High-Advanced Graphic Cards

Winmate's Edge AI Computing solutions, featuring a range of NVIDIA GPUs, represent a significant advancement in AI-assisted defect inspection and various deep learning tasks. With seamless compatibility with these high-performance GPUs, Winmate's computing systems offer unparalleled capabilities for enhancing visual experiences in image projection, while simultaneously optimizing performance for AI machine and deep learning applications.

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Specifications

System Specification

Processor

Intel® Core™ i7-12700TE(up to 4.6GHz) Intel® Core™ i9-12900TE(up to 4.80GHz) (Optional) Intel® Core™ i7-14700T(up to 5.2GHz) (Optional) Intel® Core™ i9-14900T(up to 5.5GHz) (Optional)

Chipset

Intel® R680E

Memory

SO-DIMM, DDR5 4800 MHz, 8+8GB 16+16GB (Optional) 32+32GB (Optional)

Storage

1 x M.2 2280 M-Key NVMe SSD, 512GB 1TB (Optional) 2TB (Optional)

Ethernet controller

2 x Intel® 2.5 Gigabit Ethernet Controller

Security

TPM 2.0

Operating System

Windows 11 IoT Enterprise (64 bit) (Optional) Windows 11 Pro 64 bit (Optional) Linux Ubuntu 22.04(Do not support Wake on Touch) (Optional)

WLAN

Support (Optional)

Graphic Card

NVIDIA® RTX A6000 48GB Graphic Card (Optional) NVIDIA® RTX A5500 24GB Graphic Card (Optional) NVIDIA® RTX A5000 24GB Graphic Card (Optional) NVIDIA® RTX A4500 20GB Graphic Card (Optional) NVIDIA® GeForce RTX 4060 8GB Graphic Card (Optional) NVIDIA® RTX A4000 16GB Graphic Card (Optional)

Mechanical

Dimension

323.5 x 230 x 200 mm

Weight

7.85kg

Mounting

Desk mount

Enclosure

Metal Housing

Cooling System

Fan Design

Environment

Operating Humidity

10% to 90% RH, Non-Condensing

Operating Temperature

-20°C to 50°C -40°C to 60°C (Optional)

Storage Temperature

-20°C to 60°C -40°C to 70°C (Optional)

Certification

CE, FCC

IO Ports

Power Input

1 x 3 Pin AC Plug

USB Port

6 x USB3.2 Gen 2x1 (Type-A)

Serial Port

2 x RS232/422/485 (Default RS232)

SIM Card Slot

1 x nano SIM slot

Video

1 x DP1.4a DP++ , Max resolution up to 4096x2160@60Hz 1 x HDMI 2.0b , Max resolution up to 4096x2160@60Hz (Optional)

Audio

Mic in Line out

Expansion Port

1 x M.2 2280 M-Key Slot (for NVME SSD) 1 x M.2 2230 E-Key Slot (for Wi-Fi module) 1 x M.2 3042/3052 B-Key Slot (for WWAN module) 1 x PCIe 5.0 (x16) slot 1 x PCIe 4.0 (x4) slot 1 x PCIe 4.0 (x8) slot（Only available when PCIe x16 signal is not present) 1 x Swappable 2.5" HDD/SSD Slot (Optional)

LAN

3 x 2.5 Giga LAN RJ45 Connector

DIDO

Digital input: 8ch dry contact DI0 ~ DI7, 1.5kV Isolation Logic 1 : Open ; Logic 0 : close to GND Digital output: 8ch DO0 ~ DO7, 1.5kV Isolation, 20mA max/channel by internal com 12V or 5V

Control

Button

1 x Power Button with LED Indicator 1 x Clear CMOS Button

Accessory

Power Cord Desk Mount Bracket

Dimensions Unit:mm

Note

1.This is a simplified drawing and some components are not marked in detail.
2.Please contact our sales representative if you need further product information.
3.All specifications are subject to change without prior notice.
4.The product shown in this datasheet is a standard model.For diagrams that contain customized or optional I/ O, please contact the Winmate Sales Team for more information.

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WNAI-E800
Intel® 12th/ 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer

Key Features

Introduction

Overview

Advanced Processing Performance

I/O Diversity with Intelligent Gateway Design

Efficient Temperature Management

Seamless Cloud Connectivity

AI-Driven Analysis with NVIDIA GPU Power

Powered with Optional High-Advanced Graphic Cards

Specifications

Dimensions Unit:mm

Note

WNAI-E800 Intel® 12th/ 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer

Key Features

Introduction

Overview

Advanced Processing Performance

I/O Diversity with Intelligent Gateway Design

Efficient Temperature Management

Seamless Cloud Connectivity

AI-Driven Analysis with NVIDIA GPU Power

Powered with Optional High-Advanced Graphic Cards

Specifications

Dimensions Unit:mm

Note

WNAI-E800
Intel® 12th/ 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer