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B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing

    Buy cheap B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing from wholesalers
     
    Buy cheap B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing from wholesalers
    • Buy cheap B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing from wholesalers
    • Buy cheap B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing from wholesalers

    B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing

    Ask Lasest Price
    Brand Name : Shi Zun
    Model Number : B500 Computer
    Price : Negotiable
    Payment Terms : T/T
    Supply Ability : 100+pcs+day
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    B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing

    B500 5G AI-enabled Edge Computer Hexa-core RK3399 Pro processor 3.0 TOPS Al Computing

    B500 5G AI-enabled Edge Computer Description:
    The B500 is powered by the Rockchip RK3399Pro, a low-power, high-performance processor that integrates dual-core Cortex-A72 and quad-core Cortex-A53. It runs on the Android 9.0 system, with a clock speed (frequency) of up to 1.8GHz, which delivers superb general computing performance. The ARM Mali-T860 MP4 GPU enables the perfectly smooth hardware decoding of 4k and 1080p resolution videos at 60fps. Additionally, a wide array of I/O and expansion options, including dual GigE ports, dual HDMI interfaces, Wi-Fi, Bluetooth, RS-232/RS-485 serial ports, GPIO port, 4G and 5G modules, are configured to take performance to the next level. The computer is equipped with a 3.0-TOPS NPU for AI acceleration and is well compatible with various AI software frameworks, making it an optimal solution for smart products.

    5G AI-enabled Edge Computer Parameters:

    Keyword:

    Smart Minicomputer Board

    CPU:

    Hexa-core RK3399 Pro processor

    Al Computing:

    3.0 TOPS (delivers up to 6.0 TOPS through the built-in RK1808 NPU that is compatible with TensorFlow and Caffe models)

    Power:

    2GB (4GB Max)

    CPU DDR:

    1GB (2GB optional)

    NPU DDR:

    16GB(128GB Max)
    Flash:Dual HDMI interfaces (sync/async mode)HDMI:HDMI 1:1.4,HDMI 2:2.0
    HDMI 1&HDMI:1HDMI1:1920x1080, HDMI 2:4K2:802.11 b/g/n/ac, dual-mode/dual-channel Wi-Fi
    HDMI:Dual-band 2.4GHz and 5GHz supportResolution:2x 10/100/1000Mbps ports

    Wi-Fi Standard:

    (M.2) 4G module

    Frequency:

    (M.2) 5G module


    5G AI-enabled Edge Computer Features:

    1. High Speed and Low Latency: The theoretical peak download speed of 5G networks can reach tens of Gbps, dozens of times faster than 4G networks, with communication latency reduced to within 1 millisecond, which is highly significant for real-time response applications such as autonomous driving and industrial automation.

    2. Massive Connectivity: 5G networks support connections of millions of devices, promoting the large-scale deployment of Internet of Things (IoT) applications.

    3. Network Slicing Technology: 5G offers network slicing technology, allowing for the customization of network services according to different business needs, achieving personalized applications.

    4. Integration with Edge Computing: The combination of 5G and edge computing technologies enables more real-time data processing and analysis, reducing network latency and improving business response speeds.

    5. Security: 5G networks adopt stricter cybersecurity policies to ensure the security of user data and privacy.

    6. Low Power Consumption: 5G network devices have lower power consumption characteristics, which is beneficial for extending device battery life and reducing energy consumption.

    7. Intelligence: 5G networks combine with artificial intelligence technology to achieve autonomous network optimization and intelligent scheduling, improving network operational efficiency.

    8. Convergence: 5G networks have the ability to converge with other network technologies such as wired networks and satellite networks, achieving seamless connectivity worldwide.

    9. AI at the Edge: AI is no longer limited to large data centers but is moving towards the edge, enabling devices to process data locally, reducing latency and enhancing real-time decision-making capabilities.

    10. Automation Efficiency Improvement: With the increase in the number of connected devices, automation tools and frameworks play a key role in simplifying operations, optimizing resource utilization, and ensuring seamless connectivity.

    11. Emphasis on Security and Privacy: The proliferation of edge devices makes security and privacy issues more prominent, and the edge computing ecosystem in 2024 will place greater emphasis on implementing robust security measures.

    12. Flexible Deployment of Edge Containers: The use of container technology in the field of edge computing will become more common, allowing applications to run consistently in diverse edge environments.

    13. Low Latency Connectivity of 5G: The widespread adoption of 5G networks will drive the growth of edge computing, supporting applications that require real-time responses, such as augmented reality, autonomous vehicles, and smart cities.


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