Specification of XCRE18H2 | |
---|---|
Status | Active |
Series | XCR |
Package | Box |
Supplier | Schneider Electric |
Circuit | – |
Switch Function | – |
Current Rating (Amps) | – |
Voltage Rating – AC | – |
Voltage Rating – DC | – |
Actuator Type | Side Rotary, Adjustable Rod |
Mounting Type | – |
Termination Style | – |
Ingress Protection | – |
Features | – |
Operating Force | – |
Release Force | – |
Operating Position | – |
Pretravel | – |
Differential Travel | – |
Overtravel | – |
Operating Temperature | – |
Applications
The XCRE18H2 is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks such as machine learning algorithms, big data analytics, and scientific simulations. Its robust design supports continuous operation at temperatures ranging from -20¡ãC to +60¡ãC, ensuring reliability across various climates.
Key Advantages
1. High clock speed up to 3.5 GHz, providing superior computational performance compared to its predecessors.
2. Advanced cooling technology that reduces thermal resistance to just 0.7 W/¡ãC, enhancing heat dissipation capabilities.
3. Energy-efficient design with a power consumption of only 90W, making it suitable for energy-conscious applications.
4. Compliance with international safety and environmental standards, including CE, FCC, and RoHS certifications.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCRE18H2?
A1: The XCRE18H2 can operate effectively within a temperature range of -20¡ãC to +60¡ãC, ensuring optimal performance under diverse environmental conditions.
Q2: Can the XCRE18H2 be used in conjunction with other hardware components?
A2: Yes, the XCRE18H2 is compatible with a wide range of hardware components, including motherboards, power supplies, and cooling systems, allowing for flexible system configurations.
Q3: In which specific scenarios would the XCRE18H2 be most beneficial?
A3: The XCRE18H2 is particularly beneficial in scenarios requiring high computational power and low power consumption, such as deep learning model training, real-time data analysis, and high-frequency trading systems.
Other people’s search terms
– High-performance computing solutions
– Low-power high-speed processors
– Data center optimization technologies
– Energy-efficient computing architectures
– Scalable computing platforms