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Numéro d'article:
170651400
Raspberry Pi CM5016016 Compute Module 5, 2.4GHz Quad-Core ARM Cortex-A76, 16GB eMMC, 1Gbps Ethernet
Numéro d'article:
170651400
€ 533
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This compute module represents the latest evolution in the Raspberry Pi family, offering enhanced performance and flexibility for embedded computing solutions.
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Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.
Ce qui se démarque
Powerful Performance
Equipped with a 2.4GHz quad-core ARM Cortex-A76, the Compute Module 5 ensures smooth processing and efficient multitasking for demanding applications.
Ample Storage
With 16GB eMMC storage, it provides enough space for various projects and applications, reducing the need for external storage solutions and enhancing productivity.
High-Speed Connectivity
Featuring 1Gbps Ethernet, this module offers rapid network access, making it ideal for IoT applications and projects requiring consistent and reliable internet connectivity.
Détails du produit
| Processor Speed | 2.4 |
| Connectivity Technology | Ethernet, GPIO, I2C, I2s, USB |
| Operating System | Linux |
| Processor Brand | ARM |
| Wireless Compability | 802.11a/b/g/n/ac, Bluetooth |
| Compatible Devices | Embedded Systems, Industrial Control Systems, Iot Devices, Raspberry Pi Compute Module 5 Carrier Boards |
| RAM Memory Technology | Emmc |
| Processor Count | 4 |
| Total Usb Ports | 3 |
| Item Dimensions L x W x H | 2.17"L x 1.57"W x 0.5"H (5.5 x 4 x 1.3 cm) |
| Brand | Raspberry-Pi |
| Model Name | Cm5016016 |
| Built-In Media | Documentation, Raspberry Pi Compute Module 5 |
| Global Trade Identification Number | 05056561805436 |
| Mfr Part Number | Y342973 |
| Manufacturer | Raspberry Pi |
| CPU Speed | 2.4 |
| Included Components | Documentation, Raspberry Pi Compute Module 5 |
À qui est-ce destiné ?
-
IoT Developers
Ideal for Internet of Things projects requiring high processing power and connectivity in a compact form factor.
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Embedded Systems
Perfect for embedding in devices needing efficient computing without significant space, offering high performance and low power usage.
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Hobbyists & Makers
Great for tech enthusiasts who enjoy building and experimenting with computing devices and custom hardware projects.
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Casual Users
Not suited for general users looking for a simple plug-and-play computing experience with minimal technical setup.
DESCRIPTION DU PRODUIT
Raspberry Pi CM5016016 Compute Module 5, 2.4GHz Quad-Core ARM Cortex-A76, 16GB eMMC, 1Gbps Ethernet
Vous avez une question ? Chattez avec nous
Questions et réponses des clients
-
question:
What are the main features of the Raspberry Pi Compute Module 5?
répondre: The Raspberry Pi Compute Module 5 features a 2.4GHz Quad-Core ARM Cortex-A76 processor, 16GB of eMMC storage, and supports 1Gbps Ethernet. This powerful combination enables robust performance for various applications such as embedded systems, robotics, and IoT projects. The module’s flexibility allows it to be integrated into custom hardware solutions, making it ideal for developers and hobbyists looking to create bespoke devices. -
question:
How can I use the Raspberry Pi Compute Module 5 in a project?
répondre: You can utilize the Raspberry Pi Compute Module 5 in various projects, including but not limited to digital signage, smart home automation, and sensor data logging. The high processing power and connectivity options offer plenty of scope for innovation. For instance, you can build a media player that runs high-definition video streaming or develop a sensor hub that collects and processes data from multiple sensors efficiently. -
question:
What is the advantage of the 1Gbps Ethernet on this module?
répondre: The 1Gbps Ethernet port on the Raspberry Pi Compute Module 5 facilitates faster data transfer rates compared to traditional Ethernet connections. This is particularly beneficial for applications requiring quick data retrieval or real-time communication, such as networked video processing and large-scale data aggregation systems. The enhanced connectivity ensures a smooth performance in demanding environments where rapid data handling is crucial. -
question:
Is it possible to connect a display to the Raspberry Pi Compute Module 5?
répondre: Yes, you can connect a display to the Raspberry Pi Compute Module 5 using its compatible adapter or through custom hardware interfaces you design. This module is often used in applications where a hard display is necessary, such as kiosks or user interfaces for embedded systems. Integrating a display can enhance user interaction, making your project more engaging and intuitive. -
question:
What development tools are recommended for programming the Compute Module 5?
répondre: You can use various development tools and software for programming the Raspberry Pi Compute Module 5. Popular options include Python, C/C++, and Node.js, supported by IDEs like Visual Studio Code or Thonny. Leveraging these tools allows developers to build a myriad of applications efficiently. Whether you're focusing on web applications or embedded programming, the established ecosystem around Raspberry Pi facilitates robust development. -
question:
Can the Raspberry Pi Compute Module 5 be used for machine learning projects?
répondre: Yes, the Raspberry Pi Compute Module 5 is capable of handling certain machine learning tasks, thanks to its powerful Quad-Core ARM Cortex-A76 processor. It can be used for inferencing applications, such as image recognition or audio classification, especially when paired with optimized libraries like TensorFlow Lite. This module's performance makes it a suitable option for edge computing and localized ML solutions. -
question:
What type of power supply does the Raspberry Pi Compute Module 5 require?
répondre: The Raspberry Pi Compute Module 5 requires a power supply that outputs 5V via a suitable connector. It's important to provide a stable power source that can deliver adequate current for optimal performance, especially when the module is under load. In practical terms, using a dedicated power board or adapter designed for this module can ensure reliability in your applications, minimizing risks of power shortage. -
question:
How does the Compute Module 5 compare to its predecessors?
répondre: The Raspberry Pi Compute Module 5 offers several enhancements over its predecessors, including a faster ARM Cortex-A76 processor, increased memory options, and improved connectivity features. These upgrades allow for greater storage and processing capabilities, which can significantly expand the range of potential applications. Developers transitioning from older modules will experience improved performance in intensive tasks, making it an attractive choice for modern projects. -
question:
What operating systems can I run on the Compute Module 5?
répondre: The Compute Module 5 supports various operating systems, including Raspberry Pi OS, Ubuntu, and other Linux-based distributions. This versatility enables you to choose the OS that best suits your project's needs. Whether you require a lightweight setup for a specific application or a robust environment for development, the Compute Module 5 can accommodate your requirements effectively. -
question:
Where can I buy Raspberry Pi CM5016016 Compute Module 5, 2.4GHz Quad-Core ARM Cortex-A76, 16GB eMMC, 1Gbps Ethernet in French Guiana?
répondre: You can purchase the Raspberry Pi CM5016016 Compute Module 5 from Ubuy in French Guiana. Ubuy offers a convenient online shopping experience, along with a wide selection of tech products. Their platform allows you to browse for the Compute Module 5 and compare it with other related products, ensuring you find the best options for your needs.
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€ 533
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Caractéristiques et avantages
- Features a powerful 2.4GHz quad-core ARM Cortex-A76 processor.
- Includes 16GB onboard eMMC storage for reliable data handling.
- Supports a range of connectivity options with 1Gbps Ethernet and multiple USB ports.
- Versatile video output capabilities including HDMI and OpenGL support.
- Compact design at just 2.17 x 1.57 inches, ideal for embedded applications.
- Perfect for IoT devices, industrial automation, and custom computing projects.
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