Specification of XCX15ANH | |
---|---|
Status | Obsolete |
Series | XCX |
Package | Bulk |
Supplier | Honeywell Sensing and Productivity Solutions |
Applications | Board Mount |
Pressure Type | Absolute |
Operating Pressure | 15PSI (103.42kPa) |
Output Type | Wheatstone Bridge |
Output | 0 mV ~ 90 mV (12V) |
Accuracy | – |
Voltage – Supply | 3V ~ 16V |
Port Size | Male – 0.19″ (4.8mm) Tube, Dual |
Port Style | Barbed |
Features | Temperature Compensated |
Termination Style | – |
Maximum Pressure | 45PSI (310.26kPa) |
Operating Temperature | -25C ~ 85C |
Mounting Type | Through Hole |
Package / Case | 6-SIP Module |
Supplier Device Package | – |
Applications
The XCX15ANH 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 in various environmental conditions.
Key Advantages
1. High clock speed up to 3.8 GHz, providing superior computational performance.
2. Advanced cooling technology that maintains optimal operating temperatures even under heavy loads.
3. Energy-efficient design with a power consumption of only 75W, reducing operational costs significantly.
4. Compliance with international safety and quality standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: Can the XCX15ANH operate effectively in extreme temperatures?
A1: Yes, it can operate within a wide range of temperatures (-20¡ãC to +60¡ãC), making it suitable for both indoor and outdoor deployments.
Q2: What is the maximum power consumption of the XCX15ANH?
A2: The maximum power consumption of the XCX15ANH is 75W, which is highly energy-efficient compared to similar processors.
Q3: In which specific scenarios would you recommend using the XCX15ANH?
A3: The XCX15ANH is recommended for scenarios requiring high computational power and energy efficiency, such as real-time data analysis, AI training models, and high-frequency trading systems.
Other people’s search terms
– High-performance computing processor
– Energy-efficient CPU
– Cloud computing solution
– Machine learning accelerator
– Big data processing unit