MIC-770V3 Advantech Industrial Fanless Industrial Control Host

MIC-770V3 Advantech Industrial Fanless Industrial Control Host

1. Computing power upgrade: dual core drivers for CPU and GPUStrong basic computing power: equipped with Intel 12/13/14 generation Core processors (LGA 1700 slot, TDP up to 65W), paired with dual channel DDR5 4800MHz memory (supporting up to 128GB),

Can efficiently handle multitasking data and device control loads. Some models support RAID 0/1/5/10 disk arrays to ensure data storage security and read/write efficiency. Professional AI acceleration: With i-Module extension modules such as MIC-75M20, it can adapt to NVIDIA L4 Tensor Core GPU (verified by NVQual) and has 7424 CUDA cores

24GB GDDR6 VRAM, with only 72W low-power consumption, can provide 30.3 TFLOPs of computing power, providing powerful support for edge AI inference.

2. Industrial grade reliability: stable operation in harsh environments

Fanless cooling design: Using server grade air ducts and unique cooling structures, efficient cooling of CPU and GPU can be achieved without the need for fans. The GPU temperature can be controlled below 70.5 ℃ in a 40 ℃ environment,

At the same time, it avoids dust accumulation faults and noise interference, and is suitable for clean workshops and other scenarios. Wide environmental adaptability: Supports wide temperature operation of -20~60 ℃, wide voltage input of 9~36VDC, with IP40 dust protection level and anti-interference characteristics, and can withstand high and low temperatures, voltage fluctuations, and dust in industrial sites

Waiting for complex environmental challenges. Security Protection: Integrated Intel vPro ™/ AMT technology and TPM security chips enhance the system's anti tampering and data encryption capabilities at the hardware level, meeting the information security needs of industrial scenarios.

3. Flexible Expansion: Modular Adaptation to Multiple Needs

Rich interface configuration: standard configuration includes 2 Gigabit Ethernet ports, 8 USB ports (including 2 USB 3.2 Gen2), 2 switchable RS-232/422/485 serial ports (optional 4 additional RS-232 serial ports),

And VGA+HDMI dual display output, easy to connect sensors, cameras, actuators and other devices. Modular Expansion Capability: Supports Advantech i-Module, Flex I/O, and iDoor technologies, allowing for flexible expansion of PCIe devices (such as vision capture cards, GPUs), additional display interfaces (DP/DVI), and digital devices

I/O and other customized connection requirements for different scenarios.

4. Intelligent management: efficient and convenient edge operation and maintenance

Remote full dimensional control: equipped with iBMC 1.2 edge intelligent solution, supports hardware level out of band (OOB) management, and can achieve device status monitoring, parameter configuration, etc. through Advantech WISE DeviceOn platform

Remote operation of the entire process, including fault diagnosis, enables remote reset and recovery even in case of system failures, reducing on-site maintenance requirements by 90%. IoT collaborative compatibility: supports software solutions such as EdgeSync 360, seamlessly integrates with industrial IoT architecture, achieves closed-loop management of edge data collection, local preprocessing, and cloud synchronization, and adapts to "edge cloud"

Collaborative scenario.

MIC-770V3 Advantech Industrial Fanless Industrial Control HostScope of application

1. Industrial automation and AI quality inspectionIntelligent control of production line: As the core controller, it connects PLC, robotic arm and sensors to achieve real-time monitoring and precise scheduling of the production process; Paired with GPU, it can run AI algorithms for electronic components and automotive parts

Perform size measurement and defect detection (such as automatic optical inspection AOI) to improve quality inspection efficiency and accuracy. Predictive maintenance of equipment: By collecting operational data such as equipment vibration and temperature, using GPU accelerated AI models for fault warning analysis, potential problems with motors, pumps, and other equipment can be identified in advance, reducing unplanned issues

Shutdown time.

2. Autonomous driving and intelligent transportation

Autonomous driving perception system: equipped with a visual acquisition card that can connect to 4 cameras, paired with 4 GbE Flex I/O interfaces to connect to LiDAR. The collected environmental data is quickly generated after processing by NVIDIA L4 GPU

3D environment model, supporting path planning and obstacle avoidance for autonomous vehicles. Intelligent traffic control: deployed at road monitoring points or toll stations, transmitting high-definition video streams through dual gigabit network ports, and using AI algorithms to achieve traffic flow statistics and violation recognition; Wide temperature characteristics can withstand outdoor high and low temperatures, ensuring

Stable operation 24/7.

3. Smart cities and security monitoring

Video intelligent analysis: As an edge node connected to the city monitoring network, GPU is used to recognize abnormal behaviors (such as fighting and falling) and compare faces in densely populated areas (such as commercial districts and stations) to achieve security

Real time warning and rapid response to events. Environmental monitoring gateway: connects sensors such as air quality and noise, collects data and conducts local analysis, synchronizes it to the city management center through the Internet of Things platform, and supports smart environmental decision-making.

4. Medical equipment and AI assistance

Medical AI prediction: integrated into medical detection equipment, using GPU accelerated AI models to assist in the analysis of medical images (such as X-rays and ultrasound images), or to predict trends in patient vital sign data,

Provide reference for clinical diagnosis. Accurate control of equipment: used for the operation control of medical instruments (such as laboratory analyzers), with fanless design to avoid dust accumulation and noise interference, and wide temperature characteristics to ensure stable operation of equipment in different departmental environments.

5. Intelligent manufacturing and edge computing

Edge data processing: As an industrial IoT edge gateway, it collects operational data from workshop equipment, filters and analyzes it, and only uploads key information to the cloud to reduce data transmission latency and bandwidth consumption; Paired with GPU

Real time prediction of production quality and dynamic optimization of process parameters can be achieved.