Discover our premium lineup of edge AI computers, engineered by SINSMART as a leading manufacturer for enterprise-grade deployments. These rugged, fanless industrial platforms—spanning the high-memory SIN-3412-R680E (up to 128GB DDR4, quad-display support), compact SIN-3791-Q670 (64GB DDR4 with triple outputs), versatile Core 8th H310 series (32GB DDR4 for reliable automation), and high-I/O (8 USB, 64GB DDR5 with PCIe expansion)—deliver scalable AI inference at the network edge. Featuring Intel Core 12th/13th/14th gen processors, optional NVIDIA GPU integration for deep learning tasks, and wide-temperature operation (-25°C to 60°C), they ensure uninterrupted performance in harsh environments.

With rich connectivity options like multiple COM/RS232/422/485 ports, USB 3.2 arrays, 2.5G Ethernet, M.2 slots for 4G/5G and GPS, and vibration-resistant enclosures, our edge AI computers support seamless expansion for dynamic applications. Ideal for enterprise sectors including smart manufacturing (AGV/AMR, machine vision), traffic management, autonomous systems, logistics, and smart cities, these solutions minimize latency, enhance data security, and optimize energy efficiency—empowering your operations with intelligent, on-site processing. Contact us for customized configurations tailored to your industrial needs.

Types of Edge AI Computing

Intel® 12th/13th/14th Gen Core™ i9/i7/i5 Compact industrial Fanless Embedded PC

1. CPU:Supports Intel® 12th/13th/14th generation Core™ 65W/35W LGA1700 processors.2. Memory: 1*SODIMM slot, supporting up to 32GB of non-ECC DDR4 3200 SDRAM3. Image: Integrated Intel® UHD Graphics 770 (32EU) / 730 (24EU)4. Displa...

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Intel® Core™ Ultra 200S AI computing platform Fanless mini pc

CPU:Supports Intel® Core™ Ultra 200S CPUs (LGA 1851 socket, 65W/35W) Memory: 1*SODIMM slot, supporting up to 64 GB DDR5 6400 memory Image: Integrated Intel® Xe LPG Graphics Display interfaces: 1 HDMI port, supporting a maximum resolution of 3840 x 2160; 1 DisplayPort port, su...

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Arm System NVlDlA Jetson™ Edge Al industrial fanless mini pc

CPU:8 x Arm® Cortex®-A78AE v8.2(Jetson AGX Orin 32G) 12 x Arm® Cortex®-A78AE v8.2(Jetson AGX Orin 64G) Memory:32 GB/64 GB Display:1 x HDMI 2.0b,3840 x 2160@60Hz Ethernet:1 x 10/100/1000 Mbps，RJ45,1 x 10 Gbp...

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SINSMART Intel Core 12/13 generation 128GB embedded PC industrial computer NVIDIA®RTX 40 series o...

▶ CPU:supports Intel® 12th/13th generation Core i3/i5/i7/i9 processors▶ Memory:2*SODIMM memory slots,up to 128GB▶ Display:1*VGA (resolution up to 1920*1200),1*DP (resolution up to 4096*2304)▶ Network port:2*Intel®I226-IT 2.5G network port, 1*Intel®I219-LM Gigabit network port▶ USB:6...

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SINSMART Intel Core 12/13th 64GB Fanless Industrial Computer I3/I5/I7 Windows10/11, Linux Support...

▶ CPU：supports Intel® Core 12/13 generation I3/I5/I7/Pentium/Celeron processors▶ Memory：2*DDR4 2666/2400MHZ supports up to 64G▶ Display：1*HDMI interface, 1*VAG interface, 1*DP interface▶ Hard disk：Supports 1*2.5inch SATA3.0SSD hard disk,1*M.2M Key slot▶ USB：6*USB3.0, additional internal 4*U...

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SINSMART Core 8th H310 Chipset generation Fanless PC industrial computer 120w Discrete GPU

▶ Chipset:Intel H310 chipset▶ Memory:Up to 32G DDR4 2666▶ Hard Drive:2*SATA ports,1*mSATA port▶ Display:2*DVI-D ports (supports 1920X1200 resolution)▶ USB:4*USB 3.1 ports▶ Size:185 x235 x174mm,weight about 4kg▶ Application Areas:industrial automation logistics sorting, bridges and tunnels, etc....

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Intel Core i3/i5/i7/i9 High-performance Embedded industrial computer 64G 5COM 8USB 115W NVIDIA® GPU

▶ CPU：Intel® 12th/13th/14th generation Core i3/i5/i7/i9 Pentium/Celeron processors▶ Memory：2*DD5⁵SODIMM 4800MHZ memory slots,up to 64GB▶ Storage：2*SATA ports▶ Display：1*HDMI 1.4b, supports 3840*2160 resolution,1*DP port, supports 4096*2304 resolution▶ USB:8*USB ports▶ Power supply：1*3PIN plug...

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Edge AI Computes Comparison

Model	SIN-3412-R680E	SIN-3791-Q670	SIN-3512-H310	SIN-3312-Q670E
CPU	Supports Intel 12th/13th Gen Core i3/i5/i7/i9	Supports Intel 12th/13th Gen Core i3/i5/i7 + Pentium/Celeron	Intel H310 chipset	Supports Intel 12th/13th/14th Gen Core i3/i5/i7/i9 + Pentium/Celeron
Memory	2×SODIMM, up to 128GB	2×DDR4 2666/2400, up to 64GB	Up to 32GB DDR4 2666	2×DDR5 SODIMM 4800, up to 64GB
Display Outputs	1×VGA (up to 1920×1200) + 1×DP (up to 4096×2304)	1×HDMI + 1×VGA + 1×DP	2×DVI-D (up to 1920×1200)	1×HDMI 1.4b (up to 3840×2160) + 1×DP (up to 4096×2304)
LAN	2×Intel I226-IT 2.5GbE + 1×Intel I219-LM GbE	I/O list shows 3×LAN	2×LAN	1×I226-IT 2.5GbE + 1×I219-LM GbE
USB	6×USB 3.2 Gen2 (10Gbps) + 1×internal USB2.0 (dongle)	6×USB3.0 + internal 4×USB2.0 connectors (up to 10 total)	4×USB 3.1	8×USB
COM Ports	2×RS232/422/485	3×COM	1×RS232/422/485 1×RS422/485 3*3 line RS-232	“5COM” design: 2×RS232/422/485 + 3×RS232
Power Input	DC IN 8–48V with ignition control	/	8-35V direct current	12–35V power input (3-pin terminal block)
OS Support	Windows 10/11, Windows Server 2019, Ubuntu 22.04	Windows 10/11, Linux	Windows 10, Ubuntu, CentOS	Windows10/11, Ubuntu18.04, Galaxy Kylin, Deepin 23, Tongxin 20, Hongqi 11
Dimensions / Weight	214×400×196mm	360×235×165mm	185×235×174mm	Size 157×280×188mm
GPU / Special Notes	Support GPU,expansion slots & hot-swappable HDD slot	Supports up to “750W GPU” + rich I/O	Wide-temp operation -25℃ to 60℃ and pro heat dissipation design	Supports single NVIDIA GPU up to 115W TDP + wide-temp -25~60℃

Edge AI Computer Advantages

Powerful AI Inference Performance

The edge AI computer excels in edge-based real-time AI tasks, leveraging NVIDIA Jetson Orin chips for up to 275 TOPS (trillion operations per second) of efficient, energy-saving compute. This supports complex deep learning, computer vision, and multimodal AI applications with high accuracy and speed.

High Scalability and Connectivity

An edge AI computer offers extensive industrial-grade I/O ports, including CAN, LAN, DIO, COM, USB 3.2, and Type-A. It features built-in WiFi, Bluetooth, M.2 slots for 4G/5G modules, dual SIM support, and GPS for precise positioning—ideal for expanding edge AI capabilities in dynamic setups.

Rugged, Compact, and Shock-Resistant Design

Built for harsh conditions, the edge AI computer includes GPU fixators, screw-locked cables, and vibration-dampening mounts for uninterrupted operation in vehicles or industrial settings. Its fanless, durable enclosure suits applications like AGVs, AMRs, and AI-driven optical inspection.

Efficient Wide-Temperature and Silent Cooling

The edge AI computer ensures reliable performance with advanced fanless heat dissipation, operating silently across wide temperature ranges for consistent operation in extreme conditions.

Superior GPU Efficiency

With optimized architecture, the edge AI computer provides higher performance output, better energy efficiency (longer battery life and less heat), improved resource utilization, and enhanced memory bandwidth—enabling smooth 4K video rendering and fast industrial image processing.

Powerful AI Inference Performance

High Scalability and Connectivity

Rugged, Compact, and Shock-Resistant Design

Efficient Wide-Temperature and Silent Cooling

Superior GPU Efficiency

Edge AI Box PC Applications

Embedded edge AI box PCs deliver reliable, real-time local AI computing for industrial automation, vision inspection, energy monitoring, and autonomous systems.

Industrial Automation

Edge computing in manufacturing enables real-time data analysis and localized intelligence to optimize production efficiency and reduce downtime.

Pain Points

Factory environments are dusty, hot, and vibrating
Consumer PCs fail during 24/7 operation
Limited I/O makes PLC and machine integration difficult

Edge AI Computer Solution

Fanless, industrial-grade design for nonstop operation
Wide temperature support for factory floors
Rich I/O ports (COM, LAN, GPIO) for PLC and machine control

embedded edge ai box pc application in computer vision

Machine Vision

A computer vision AI solution enables fast image recognition and real-time defect detection to improve accuracy and productivity in industrial environments.

Pain Points

Real-time image processing causes high system load
Data latency affects inspection accuracy
Cloud processing raises privacy and cost concerns

Edge AI Computer Solution

Local edge processing for real-time vision analysis
Supports AI accelerators
On-site inference reduces latency and protects data

Energy & Power Monitoring

Edge computing solutions for energy industry provide stable local data processing and real-time monitoring to improve operational efficiency and system reliability.

Pain Points

Equipment often operates in remote or harsh locations
System failures cause monitoring blind spots
Long lifecycle requirements exceed consumer PC limits

Edge AI Computer Solution

Rugged design for outdoor and remote environments
High system stability for continuous monitoring
Long product lifecycle with industrial components

embedded edge ai computing in automaion driving

Autonomous Driving

Autonomous driving edge computing enables real-time data processing and instant decision-making for safer, more reliable autonomous vehicles and mobile systems.

Pain Points

Autonomous systems require ultra-low latency
High vibration impacts hardware reliability
Limited space for onboard computing

Edge AI Computer Solution

Edge computing enables instant decision-making
Shock- and vibration-resistant design
Compact form factor for vehicle integration

FAQs About Edge AI Computer

1. What is an edge AI computer?

An edge AI computer is a rugged, industrial-grade computing device that performs real-time AI inference and data processing locally at the network edge, reducing reliance on cloud servers for low-latency applications.
2. How does an edge AI computer differ from cloud-based AI systems?

Unlike cloud AI, which sends data to remote servers for processing, an edge AI computer handles AI tasks on-device or nearby, enab
3. What are the key benefits of using an edge AI computer in industrial settings?

Edge AI computers offer real-time decision-making, reduced latency, enhanced data security, lower bandwidth costs, and reliable performance in harsh conditions like vibration, extreme temperatures, and dust.
4. What connectivity options are typically available on an edge AI computer?

Edge AI computers feature rich industrial I/O ports, including CAN bus, LAN, DIO, COM, USB 3.2, 4G/5G modules, dual SIM support, Wi-Fi, Bluetooth, and GPS for seamless integration in dynamic setups.
5. Are edge AI computers designed for harsh environments?

Yes, most edge AI computers are rugged and fanless, with shock-resistant designs, vibration-dampening mounts, screw-locked cables, and wide-temperature operation to ensure uninterrupted performance in vehicles or industrial sites.
6. What industries commonly use edge AI computers?

Edge AI computers are widely deployed in traffic management, smart cities, machine vision, autonomous driving, intelligent retail, manufacturing (e.g., AGV/AMR), and logistics for real-time intelligence.
7. How does an edge AI computer handle real-time AI inference?

By processing data locally with optimized hardware, an edge AI computer delivers high-performance inference for tasks like computer vision and deep learning, minimizing delays compared to cloud-dependent systems.
8. Can an edge AI computer operate without internet connectivity?

Yes, edge AI computers process AI tasks offline, making them ideal for remote or unreliable network areas, while still supporting optional cloud syncing for model updates when connected.
9. What makes an edge AI computer scalable for enterprise needs?

High expandability through M.2 slots, multiple I/O ports, modular designs, and support for wireless modules allows edge AI computers to adapt to growing applications like adding 5G or extra sensors.
10. How energy-efficient is an edge AI computer compared to traditional systems?

With fanless cooling, optimized architecture, and local processing, edge AI computers provide superior energy efficiency, longer runtime, reduced heat, and lower operational costs in demanding deployments.
11. What is the difference between an edge AI computer and an embedded PC?

An edge AI computer is designed to run AI inference locally with built-in GPU, NPU, or AI accelerators, enabling real-time data processing and low latency. An embedded PC mainly handles general control, data collection, and system integration without optimized AI computing capability.
12. What AI processors and accelerators do edge AI computers support?

Most edge AI computers support Intel CPUs with integrated AI acceleration, NVIDIA GPUs, AI inference modules, and dedicated NPUs or VPUs, allowing flexible performance scaling based on workload and power requirements.
13. Can edge AI computers be customized for specific industrial projects?

Yes. Edge AI computers can be customized with different I/O interfaces, AI modules, operating systems, mounting options, and power designs to match specific industrial applications and deployment requirements.

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