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

Name: Intel® 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer | WNAI-E800
Brand: Winmate
SKU: WNAI-E800

Winmate WNAI-E800 is an Intel® 14th Gen Core™ Processor with NVIDIA® RTX™ GPU Industrial Edge AI Computer designed for machine vision, edge AI inference, and industrial automation. This product helps industrial buyers, OEMs, and system integrators select a reliable Winmate solution for rugged, embedded, or mission-critical environments where performance, durability, and long lifecycle availability matter. Best for: The WNAI-E800 is best suited for machine vision, edge AI inference, and industrial automation, especially when teams need stable hardware integration, dependable field operation, and a supplier with industrial computing experience. Key specifications: Important product highlights include 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, and Supports Intel® vPro. SEO search intent: This content is optimized for users searching for WNAI-E800, Winmate WNAI-E800, Winmate edge AI computer, edge AI computer, edge AI computer for machine vision, and edge AI computer for edge AI inference, and for purchase-intent queries related to industrial-grade Winmate hardware, rugged computing, embedded systems, and application-ready product solutions.

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

DATASHEET RESOURCE

ADD TO INQUIRY

ADD TO COMPARE

WNAI-E800

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

EOL

Overview Specification Product FAQs

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™ 2000 Ada/4060/4070/4000 Ada/6000 Ada 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.

Read More

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)

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

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

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 WLAN, 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.

Industrial Fanless Embedded PC: A Comprehensive Guide Industrial fanless embedded PCs are revolutionizing automation, industrial control, and edge computing applications. Designed for durability, these compact yet powerful computers operate in extreme environments without the need for active cooling fans. This guide explores the features, benefits, applications, and future trends of industrial fanless embedded PCs. What is an Industrial Fanless Embedded PC? An industrial fanless embedded PC is a ruggedized computing device used in industrial settings where reliability and performance are essential. These systems are engineered to function without active cooling, making them ideal for harsh conditions where dust, debris, or vibration could impact performance. Key Features of Industrial Fanless Embedded PCs 1. Fanless Cooling – Passive cooling mechanisms eliminate moving parts, reducing failure risks. 2. Rugged Construction – Withstands extreme temperatures, shocks, and vibrations. 3. Compact and Space-Saving – Ideal for installations with limited space. 4. Low Power Consumption – Energy-efficient design suitable for continuous operation. 5. Wide Operating Temperature Range – Functions in extreme hot or cold environments. 6. Multiple I/O Interfaces – Supports USB, COM, LAN, HDMI, and industrial protocols. 7. Long Lifecycle Support – Industrial-grade components ensure long-term availability. 8. Customizable and Scalable – Adaptable to various industrial applications. Advantages of Fanless Embedded PCs 1. Enhanced Reliability – No moving parts reduce maintenance requirements. 2. Silent Operation – Eliminates noise associated with fan-cooled systems. 3. Improved Durability – Dustproof and waterproof enclosures for industrial use. 4. Energy Efficiency – Optimized power consumption for 24/7 operation. 5. Extended Lifecycle – Designed for long-term deployment in industrial environments. Applications of Industrial Fanless Embedded PCs Industrial fanless embedded PCs are utilized across various industries for automation, control, and monitoring applications. 1. Factory Automation • Machine control and process automation. • Human-Machine Interface (HMI) integration. • SCADA (Supervisory Control and Data Acquisition) systems. 2. Edge Computing and IoT • Real-time data processing at the edge. • Sensor data collection and analysis. • AI and machine learning applications. 3. Healthcare and Medical Devices • Medical imaging and diagnostics. • Patient monitoring and data logging. • Sterile environments where fanless operation is crucial. 4. Transportation and Logistics • Vehicle-mounted computing for fleet management. • Intelligent traffic systems and railway monitoring. • Autonomous vehicle and robotics integration. 5. Retail and Digital Signage • Interactive kiosks and POS terminals. • Digital signage for advertising and information display. • Smart vending machines with remote monitoring. 6. Military and Defense • Rugged computing for battlefield and tactical operations. • Secure communication and command centers. • Surveillance and reconnaissance systems. 7. Energy and Utilities • Remote monitoring of power grids and substations. • Oil and gas pipeline monitoring. • Renewable energy system control and optimization. Choosing the Right Industrial Fanless Embedded PC When selecting an industrial fanless embedded PC, consider the following factors: 1. Processor Performance – Choose between Intel, AMD, or ARM processors based on workload requirements. 2. Operating Temperature Range – Ensure compatibility with the deployment environment. 3. Storage Options – SSDs and NVMe provide faster data access and durability. 4. I/O Connectivity – Check for USB, RS-232/485, LAN, and expansion slots. 5. Power Input – Wide voltage support for industrial power conditions. 6. Mounting Options – DIN-rail, wall-mount, or VESA mounting based on installation needs. 7. Certifications – Ensure compliance with industry standards like CE, FCC, and MIL-STD. Future Trends in Industrial Fanless Embedded PCs 1. AI and Machine Learning Integration • Advanced edge computing for real-time AI processing. • Neural network acceleration in embedded environments. 2. 5G Connectivity • Ultra-fast data transfer for industrial automation and remote monitoring. • Enhanced IoT capabilities with low-latency communication. 3. Increased Cybersecurity Measures • Hardware security modules (HSMs) for data protection. • Secure boot and encrypted communication for industrial networks. 4. Smaller and More Powerful Designs • Miniaturized yet high-performance embedded PCs. • More power-efficient architectures for energy savings. 5. Integration with Smart Manufacturing • Digital twins and predictive maintenance applications. • IoT-connected devices for improved industrial automation. Industrial fanless embedded PCs provide a robust, energy-efficient, and highly reliable computing solution for demanding applications. Their fanless design, rugged construction, and long lifecycle make them ideal for factory automation, transportation, healthcare, and military applications. As technology advances, these embedded PCs will continue to evolve, integrating AI, IoT, and cybersecurity enhancements to meet the growing demands of Industry 4.0.