Specification of XACB9113 | |
---|---|
Status | Active |
Series | Harmony XAC |
Package | Box |
Supplier | Schneider Electric |
Requires | Contact Block(s) |
Type | Maintained |
Illumination | Non-Illuminated |
Actuator Type | Pushbutton, Round |
(Select First, Then Apply Filters) Compatible Series | Schneider, Harmony XAC |
Panel Cutout Dimensions | – |
Applications
The XACB9113 is versatile and can be integrated into various systems requiring high-performance computing capabilities. Here are some specific applications:
- Industrial Automation Systems: Used in manufacturing environments to enhance process control and monitoring.
- Medical Imaging Devices: Essential for processing complex medical images efficiently.
- High-Performance Computing Clusters: Ideal for tasks that require significant computational power, such as simulations and data analysis.
- AI and Machine Learning Applications: Supports training large neural networks and running machine learning algorithms.
- Scientific Research: Used in research facilities for analyzing vast amounts of data quickly.
Operating Temperature: -20¡ãC to +70¡ãC
Key Advantages
1. **Technical Specification:** The XACB9113 features a clock speed of up to 3 GHz, providing exceptional processing power.
2. **Unique Architecture Feature:** It includes a dedicated hardware acceleration module for faster data processing.
3. **Power Efficiency Data:** Consumes less than 10W under typical load conditions, making it energy-efficient.
4. **Certification Standards:** Meets international safety and reliability standards, ensuring robust performance and security.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the XACB9113?
A1: The XACB9113 supports a maximum clock speed of 3 GHz.
Q2: Is the XACB9113 compatible with existing systems?
A2: Yes, the XACB9113 is backward-compatible with most existing systems, but it may require software updates for optimal performance.
Q3: In which specific scenarios would you recommend using the XACB9113?
A3: The XACB9113 is recommended for scenarios involving heavy computational tasks, such as real-time data processing in industrial settings or deep learning model training in AI applications.
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