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)
- CERTIFICATIONS
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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.
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.
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.
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.
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
*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)
Dimension
360 x 220 x 158 mm
Weight
10.4 kg
Mounting
Desk Mount
Enclosure
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)
Certification
CE, FCC
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)
LAN
2 x 2.5 Giga LAN RJ45 Connector 4 x Giga LAN RJ45 Connector (Optional)
Video
1 x DP1.4 1 x HDMI 2.0 (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 PCIe 5.0 (x16) slot
Power Input
1 x 3 Pin AC Plug
Button
1 x Power Button with LED Indicator 1 x Clear CMOS Button 1 x Reset Button
Accessory
Power Cord Desk Mount Bracket
