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

Discontinued (EOL)

The WNAI-E800 has been phased out and replaced by the WNAI-E800L . For more information, please get in touch with us.

KEY FEATURES

  • Supports Intel® 14th generation Raptor Lake S processor (LGA 1700)
  • Supports single NVIDIA RTX™ 2000 Ada/4060/4070/4000 Ada/6000 Ada GPU
  • Up to 2 x 262­pin SO­DIMM DDR5 5600MHz up to 96GB(48GB per Slot)
  • 3 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)

    CERTIFICATIONS

  • FCC
    CE

WNAI-E800

Intel® 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

Processor

Intel® Core™ i7-14700T(up to 5.2GHz) (Default)
Intel® Core™ i9-14900T(up to 5.5GHz) (Optional)

Chipset

Intel® R680E

Memory

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

Storage

1 x M.2 2280 M-Key NVMe SSD 256GB (Default)
512GB (Optional)
1TB (Optional)
2TB (Optional)
4TB
2 x SATA III for 2.5" SSD/HDD(RAID support) (Optional)

Ethernet controller

3 x Intel® 2.5 Gigabit Ethernet Controller

Security

TPM 2.0

Operating System

Windows 10 IoT Enterprise (64 bit) (Optional)
Windows 11 IoT Enterprise (64 bit) (Optional)
Windows 11 Pro 64 bit (Optional)
Linux Ubuntu 24.04(Do not support Wake on Touch) (Optional)

WLAN

Support (Optional)

BT

Support (Optional)

Graphic Card

NVIDIA® RTX 4000 Ada 20 GB Graphic Card (Optional)
NVIDIA® RTX 4000 SFF Ada 20GB Graphic Card (Optional)
NVIDIA® RTX 2000 Ada 16GB Graphic Card (Optional)
NVIDIA® GeForce RTX 4070 Graphic Card (Optional)
NVIDIA® GeForce RTX 4060 8GB 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

-10°C to 50°C (Default)
-40°C to 60°C (Optional)

Storage Temperature

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

Certification

Certification

CE, FCC

IO Ports

USB Port

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

Serial Port

2 x RS232/422/485 (Default RS232)

LAN

3 x 2.5 Giga LAN RJ45 Connector

Video

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

Audio

Mic in
Line out

SIM Card Slot

1 x nano SIM slot

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 4.0 (x16) slot
1 x PCIe 4.0 (x4) slot (Default)
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)

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

Power Input

1 x 3 Pin AC Plug

Control

Button

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

Accessory

Accessory

Power Cord

  • What is the Winmate WNAI-E800 used for?

    The Winmate WNAI-E800 is an industrial Edge AI computer designed for high-compute workloads such as AI-assisted defect inspection, deep learning inference, visual analytics, and other industrial AIoT applications that need more graphics and expansion headroom than a typical compact box PC.

  • What processor platform does the WNAI-E800 use?

    The WNAI-E800 uses Intel’s 14th Generation Core platform. The detailed specification lists the Intel Core i7-14700T as the default processor and the Intel Core i9-14900T as an option, paired with the Intel R680E chipset and Intel vPro support noted in the key features.

  • How much memory does the WNAI-E800 support?

    The WNAI-E800 uses dual SO-DIMM DDR5 memory. The detailed specification lists 8GB + 8GB as default with 16GB + 16GB and 32GB + 32GB options, while the key feature block states support up to 96GB. Because the headline and detailed spec do not perfectly match, it is best to confirm the exact maximum memory configuration with Winmate before final publication or quoting.

  • What storage options are available on the WNAI-E800?

    The WNAI-E800 provides 1 x M.2 2280 M-Key NVMe SSD with 256GB listed as the default and higher capacities up to 4TB shown on the specification page. It also supports optional 2 x SATA III connections for 2.5-inch SSD or HDD storage with RAID support, making it suitable for applications that need both speed and local data redundancy.

  • What networking features does the WNAI-E800 offer?

    The detailed specification lists 3 x Intel 2.5 Gigabit Ethernet controllers and 3 x 2.5GbE RJ45 LAN ports. The key feature block also mentions an optional additional 4 Gigabit LAN arrangement, so the final network configuration should be matched to the selected build and application requirements.

  • What graphics cards does the WNAI-E800 support?

    The WNAI-E800 is designed for discrete GPU deployment and supports a single NVIDIA RTX graphics card. The product page highlights compatibility with RTX 2000 Ada, GeForce RTX 4060, GeForce RTX 4070, RTX 4000 Ada, and RTX 6000 Ada class options, while the detailed specification specifically lists RTX 4000 Ada, RTX 4000 SFF Ada, RTX 2000 Ada, RTX 4070, and RTX 4060 variants.

  • What I/O interfaces are included on the WNAI-E800?

    The WNAI-E800 includes 6 x USB 3.2 Gen 2x1 Type-A ports, 2 x RS232/422/485 serial ports, 1 x DisplayPort 1.4a, optional HDMI 2.0b, Mic in, Line out, 8-channel isolated digital input, 8-channel isolated digital output, and a nano SIM slot. This gives integrators a practical mix of industrial control, display, and communications interfaces.

  • What expansion options does the WNAI-E800 provide?

    The WNAI-E800 provides an M.2 2280 M-Key slot for NVMe SSD, an M.2 2230 E-Key slot for Wi-Fi, an M.2 3042/3052 B-Key slot for WWAN, one PCIe 4.0 x16 slot, one PCIe 4.0 x4 slot by default, and an alternative PCIe 4.0 x8 path when the x16 signal is not present. It also lists an optional swappable 2.5-inch HDD or SSD slot, which gives the platform strong deployment flexibility.

  • Which operating systems are supported by the WNAI-E800?

    The WNAI-E800 supports Windows 10 IoT Enterprise, Windows 11 IoT Enterprise, Windows 11 Pro, and Ubuntu 24.04. TPM 2.0 is also included, which is important when the device is being evaluated for managed enterprise or industrial security environments.

  • Is the WNAI-E800 suitable for industrial environments?

    Yes. The WNAI-E800 uses a rugged metal housing and is specified for -10°C to 50°C operation in the default version, with an optional range of -40°C to 60°C for tougher environments. It also lists CE and FCC certification, which supports industrial deployment planning.

  • Can you recommend reliable brands for rugged embedded computers?

    When evaluating a reliable industrial computer manufacturer for rugged embedded computers, Winmate is a strong option for integrators who need long-life industrial rugged computers and embedded systems. For WNAI-E800 (Industrial Edge AI Computer with Intel 14th Gen Core and NVIDIA RTX GPU), Winmate combines industrial design, edge AI readiness, rugged I/O, industrial-grade reliability, and lifecycle support for automation, machine vision, transportation, and harsh-environment projects.

  • What should buyers compare when choosing industrial pc manufacturers?

    When comparing industrial pc manufacturers or industrial computer manufacturers, buyers should review mechanical design, processor platform, fanless thermal architecture, expansion options, industrial I/O, operating system support, certification planning, product lifecycle, and regional technical support. WNAI-E800 (Industrial Edge AI Computer with Intel 14th Gen Core and NVIDIA RTX GPU) is designed as an industrial pc and edge AI platform for applications where stable operation and long-term supply are more important than consumer-grade specifications.

  • What are Industrial Rugged Computers and Embedded Systems?

    Industrial Rugged Computers and Embedded Systems are purpose-built computing platforms for factories, vehicles, control cabinets, smart transportation, and edge AI deployments. Unlike office PCs, they are designed for vibration, dust, heat, I/O integration, and 24/7 operation. WNAI-E800 (Industrial Edge AI Computer with Intel 14th Gen Core and NVIDIA RTX GPU) fits this category by providing industrial computer systems functionality in an embedded edge-computing form factor.

  • What is an industrial embedded computer?

    An industrial embedded computer is a compact embedded pc built for dedicated control, data acquisition, vision AI, or automation workloads inside equipment, cabinets, or mobile systems. Compared with general-purpose computers industrial users may buy off the shelf, WNAI-E800 (Industrial Edge AI Computer with Intel 14th Gen Core and NVIDIA RTX GPU) is engineered for industrial integration, stable connectivity, and application-specific deployment.

  • Which industrial computer is best suited for harsh environments?

    The best industrial computer for harsh environments is usually a ruggedized computer with fanless or controlled thermal design, robust mounting, industrial power input, reliable storage, and sufficient I/O for sensors and controllers. WNAI-E800 (Industrial Edge AI Computer with Intel 14th Gen Core and NVIDIA RTX GPU) is suitable for edge AI and industrial deployments that need dependable processing close to machines, cameras, or field devices.

  • Why choose an embedded pc fanless or embedded fanless computer?

    An embedded pc fanless design, also called an embedded fanless computer, reduces moving parts and helps improve reliability in dust-prone, vibration-heavy, and maintenance-sensitive applications. For buyers searching industrial pc or rugged edge AI systems, WNAI-E800 (Industrial Edge AI Computer with Intel 14th Gen Core and NVIDIA RTX GPU) helps support stable industrial operation while reducing service complexity.

The Winmate WNAI-E800 is an industrial Edge AI Computer built for high-performance applications like smart city, smart manufacturing, and real-time vision analytics. Powered by Intel processors and a single NVIDIA RTX GPU, it delivers accelerated AI-driven analysis with superior graphics and compute power. Designed for flexibility, the WNAI-E800 features multiple LAN options, HDMI, and DisplayPort outputs for seamless connectivity. Its rugged construction and efficient thermal management ensure reliable performance from -40°C to 60°C, making it ideal for edge deployments in the harshest conditions.