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Item #:
88584793
Banana Pi CM4 Sinlge Board Computer, with Amlogic A311D CPU 5TOPS NPU Mali-G52 GPU, LPDDR4 4GB RAM 16G eMMC, for AI Edge Computing, Support Android
Item #:
88584793
TMT 559
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Banana Pi BPI-CM4 is an AI IoT project development board computer, compatible with Raspberry Pi CM4 and expandable for diverse applications.
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What Stands Out
Powerful Performance
Equipped with the Amlogic A311D CPU and Mali-G52 GPU, this board delivers fast processing and efficient graphics, enabling seamless performance for AI edge computing tasks.
Robust Memory
With 4GB LPDDR4 RAM and 16GB eMMC storage, this board ensures ample memory and fast data access, enhancing multitasking capabilities and application performance compared to competitors.
Versatile Compatibility
Supports both Android and Linux operating systems while being compatible with Raspberry Pi CM4 accessories, providing flexibility for developers and ease of integration into existing projects.
Product Details
| RAM Memory Installed | 4 GB |
| Memory Storage Capacity | 16 GB |
| CPU Model | Cortex A7 |
| Connectivity Technology | HDMI/USB/GPIO/Debug/MIPI |
| Operating System | Android, Linux |
| Processor Brand | Amlogic |
| Wireless Compability | Infrared |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 6 |
| Brand | WayPonDEV |
| Model Name | Banana Pi CM4 Sinlge Board Computer |
| Model Number | Banana Pi CM4 4GB SBC |
| Manufacturer | WayPonDEV |
| Ram Memory Installed Size | 4 GB |
| Item Weight | 0.6 lbs (270 grams) |
Who Should Buy?
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AI Developers
Ideal for developers working on AI applications, leveraging the powerful Amlogic A311D CPU and NPU for efficient processing.
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Edge Computing
Perfect for use in edge computing scenarios, providing strong performance with low latency and energy efficiency for IoT devices.
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Raspberry Pi Users
Great for Raspberry Pi enthusiasts looking to upgrade to a more powerful single board computer while maintaining compatibility.
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Casual Users
Not suitable for users looking for a simple plug-and-play device, as it requires technical setup and configuration.
Product Description
Banana Pi CM4 Sinlge Board Computer, with Amlogic A311D CPU 5TOPS NPU Mali-G52 GPU, LPDDR4 4GB RAM 16G eMMC, for AI Edge Computing, Support Android and Linux, Compatible with Raspberry Pi CM4
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What are the primary features of the Banana Pi CM4 Single Board Computer?
Answer: The Banana Pi CM4 Single Board Computer boasts an Amlogic A311D CPU, capable of 5TOPS NPU performance, and a Turkmenistan-G52 GPU for graphics processing. With 4GB of LPDDR4 RAM and 16GB eMMC storage, it's designed for efficient AI edge computing. Users benefit from its compact design and the ability to support Android, making the device suitable for various applications from smart home setups to IoT projects. This combination of power and versatility allows developers to create advanced applications with ease. -
Question:
How does the Amlogic A311D CPU benefit AI edge computing?
Answer: The Amlogic A311D CPU is engineered to support AI edge computing with its integration of a powerful NPU that delivers 5TOPS performance. This architecture enables real-time processing of AI algorithms directly on the device, reducing latency and dependency on cloud services. Use cases include image processing in smart cameras, real-time data analytics in smart manufacturing, and autonomous driving systems where quick decision-making is critical, ensuring a seamless experience across various applications. -
Question:
Can the Banana Pi CM4 run Android applications?
Answer: Yes, the Banana Pi CM4 is designed to support Android, enabling users to run a wide range of Android applications seamlessly. This flexibility allows developers to leverage existing Android apps while also creating new applications tailored for AI-edge environments. Scenarios include deploying home automation solutions, interactive kiosks, or smart displays, providing unique user experiences driven by the power of AI directly at the edge. -
Question:
What type of projects is the Banana Pi CM4 ideal for?
Answer: The Banana Pi CM4 is ideal for a variety of projects, particularly those involving AI edge computing. Its robust processing capabilities make it suitable for designing smart devices, edge analytics applications, and even robotics. Developers can create systems that require low latency data processing, from smart home devices to industrial IoT solutions, benefiting from its efficient resource management and performance without relying heavily on cloud infrastructure. -
Question:
How much RAM and storage does the Banana Pi CM4 offer?
Answer: The Banana Pi CM4 is equipped with 4GB of LPDDR4 RAM and 16GB of eMMC storage. The ample RAM ensures smooth multitasking capabilities, while the eMMC storage allows for efficient data handling and application performance. This configuration supports demanding applications that require quick data access and processing, making it suitable for real-time AI tasks and user interaction scenarios that demand prompt responses. -
Question:
Is the Banana Pi CM4 suitable for beginners in AI and edge computing?
Answer: Yes, the Banana Pi CM4 is suitable for beginners exploring AI and edge computing projects. Its compatibility with Android and various development environments offers an accessible entry point for users. Beginners can start with basic projects like simple AI models or IoT devices, gradually advancing to more complex applications. The active community and resources available also add to the learning experience, making it a friendly choice for newcomers. -
Question:
What are the connectivity options offered by the Banana Pi CM4?
Answer: The Banana Pi CM4 provides multiple connectivity options, including Ethernet, USB ports, and support for Wi-Fi and Bluetooth modules, enhancing its versatility in networked applications. This range of connectivity enables developers to seamlessly integrate the board into existing systems or set up new IoT networks. For instance, it can connect to smart sensors or other IoT devices to create comprehensive monitoring systems contributing to smart home or industrial automation. -
Question:
What kind of software or development tools can be used with the Banana Pi CM4?
Answer: The Banana Pi CM4 supports various software and development tools, including Android SDK, Python, and other programming environments compatible with ARM-based architectures. This flexibility allows developers to choose the best tools for their specific projects, whether building applications, conducting research, or creating prototypes. Moreover, using popular frameworks, developers can implement machine learning models or automation scripts, broadening the scope of possible applications. -
Question:
Can I use the Banana Pi CM4 for machine learning applications?
Answer: Absolutely! The Banana Pi CM4, with its Amlogic A311D CPU and NPU, is well-suited for machine learning applications. The onboard processing power allows the execution of AI models directly at the edge, facilitating tasks like image recognition or data classification without needing a cloud-based solution. Developers can utilize pre-trained models or custom-built algorithms to implement machine learning in various scenarios, such as smart surveillance or predictive maintenance in industrial setups. -
Question:
Where can I buy the Banana Pi CM4 Single Board Computer in Turkmenistan?
Answer: You can purchase the Banana Pi CM4 Single Board Computer from Ubuy in Turkmenistan. Ubuy offers a wide range of electronics and innovative computing devices, ensuring you have access to the latest technology. With a user-friendly interface and detailed product descriptions, shopping for the Banana Pi CM4 and other accessories becomes a seamless experience.
WayPonDEV Single Board Computers Banana Pi CM4 4GB SBC Editorial Review
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TMT 559
Order now and get it around Monday, October 05
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Features & Benefits
- Quad-core Amlogic A311D processor for robust performance.
- 4GB LPDDR4 RAM and 16GB eMMC flash, expandable up to 128GB.
- Compatible with Raspberry Pi CM4 carrier boards and pinouts.
- Supports HDMI output, MIPI DSI, and CSI interfaces for diverse connectivity.
- Integrated AI capabilities with a NPU for efficient deep-learning applications.
- Includes various essential components for immediate project setup.
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