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


  • 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)
  • FCC CE

WNAI-E800New Design

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

Winmate AI Edge Computing WNAI-E800 features Efficient Temperature Management for Extended Longevity and Durability.

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.

System Specification


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)


Intel® R680E


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


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

Ethernet controller

2 x Intel® 2.5 Gigabit Ethernet Controller


TPM 2.0

Operating System

*Note:Only Windows 11 support Wake on touch Windows 11 IoT Enterprise (64 bit) (Optional) Windows 11 Pro 64 bit (Optional) Windows 10 IoT Enterprise (64 bit) (Optional) Linux Ubuntu 22.04 (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)



360 x 220 x 158 mm


10.4 kg


Desk Mount


Metal Housing

Cooling System

Fan design


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)




IO Ports

USB Port

4 x USB3.2 Gen 2x1 (Type-A) 4 x USB2.0 (Type-A) (Optional)

Serial Port

1 x RS232/422/485 (Default RS232) (Optional) 1 x RS232 (Optional)


2 x 2.5 Giga LAN RJ45 Connector 4 x Giga LAN RJ45 Connector (Optional)


1 x DP1.4 1 x HDMI 2.0 (Optional)


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 PCIe 5.0 (x16) slot

Power Input

1 x 3 Pin AC Plug



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



Power Cord Desk Mount Bracket