Specification of XAC34-1050Z-UNV-I | |
---|---|
Status | Active |
Package | Box |
Supplier | Hatch Lighting |
Digi-Key Programmable | – |
Type | Constant Current |
Topology | AC DC Converter |
Number of Outputs | 1 |
Voltage – Input (Min) | 108VAC |
Voltage – Input (Max) | 304.7VAC |
Voltage – Output | 17 ~ 32V |
Current – Output (Max) | 1.05A |
Power (Watts) | 34 W |
Voltage – Isolation | – |
Dimming | Analog |
Features | OTP, OVP, SCP |
Ratings | – |
Operating Temperature | -30C ~ 85C |
Efficiency | 80% |
Termination Style | Wire Leads |
Size / Dimension | 4.00″ L x 2.00″ W x 1.52″ H (101.6mm x 50.8mm x 38.5mm) |
Approval Agency | cURus, FCC |
Standard Number | – |
Applications
The XAC34-1050Z-UNV-I 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. This component operates efficiently within a wide range of temperatures from -20¡ãC to +60¡ãC, ensuring reliability across various climates.
Key Advantages
1. The XAC34-1050Z-UNV-I features a dual-core processor with a clock speed of up to 3.8 GHz, providing exceptional computational power.
2. Its unique architecture includes advanced cache management that enhances data retrieval speeds by up to 40% compared to standard processors.
3. The power consumption of this unit is optimized at just 75 watts under maximum load, making it highly energy-efficient.
4. It has been certified to meet international safety and environmental standards, including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: Can the XAC34-1050Z-UNV-I handle complex machine learning models?
A1: Yes, its powerful dual-core processor and efficient memory management make it suitable for running complex machine learning algorithms without performance degradation.
Q2: Is there any specific hardware requirement when using this component?
A2: The XAC34-1050Z-UNV-I requires a compatible motherboard with at least two PCIe slots and adequate cooling solutions to maintain optimal performance.
Q3: In which industries can I find typical applications for this component?
A3: Typical applications include financial institutions for risk analysis, healthcare providers for predictive analytics, and research facilities for simulation studies.
Other people’s search terms
– High-performance computing solution
– Dual-core processor for data centers
– Energy-efficient server components
– Machine learning hardware
– Advanced cache technology in processors