XCKD2145M12

Applications

The XCKD2145M12 is versatile and can be applied across various industries due to its robust design and high performance.

• Automotive: Used in advanced driver-assistance systems (ADAS) for enhanced safety features like lane departure warning and adaptive cruise control.
• Industrial: Ideal for machinery control systems that require precise timing and reliability under harsh conditions.
• Consumer Electronics: Commonly found in smart home devices such as smart thermostats and security cameras.
• Medical Devices: Utilized in medical imaging equipment where high precision and stability are crucial.
• Telecommunications: Essential in network infrastructure for reliable data transmission over long distances.

Operating Temperature: -40¡ãC to +85¡ãC

Key Advantages

1. **High Processing Speed:** The XCKD2145M12 offers up to 6 GHz processing speed, making it suitable for demanding computational tasks.

2. **Advanced Cooling Technology:** Equipped with a unique liquid cooling system that enhances thermal management and extends operational life.

3. **Power Efficiency:** Consumes less than 10W at maximum load, reducing energy consumption and heat generation.

4. **Certification Standards:** Meets stringent international certifications including CE, FCC, and RoHS, ensuring compliance with global regulations.

Frequently Asked Questions

Q1: What is the typical lifespan of the XCKD2145M12?

A1: The XCKD2145M12 has been designed to last up to 10 years under standard operating conditions, thanks to its durable construction and efficient cooling system.

Q2: Can the XCKD2145M12 be used in environments with high humidity?

A2: Yes, the XCKD2145M12 is rated for operation in environments with relative humidity up to 95% without condensation, making it suitable for most industrial settings.

Q3: In which specific scenarios would you recommend using the XCKD2145M12?

A3: The XCKD2145M12 is recommended for applications requiring high-speed processing and low power consumption, such as in embedded systems within autonomous vehicles or in edge computing nodes for real-time data analysis.

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