Specification of 1942-1224-N | |
---|---|
Status | Active |
Package | Bulk |
Supplier | RAF Electronic Hardware |
Type | Round Standoff |
Threaded/Unthreaded | Threaded |
Gender | Female, Female |
Screw, Thread Size | #12-24 |
Diameter – Inside | – |
Diameter – Outside | 0.500″ (12.70mm) 1/2″ |
Between Board Height | 9.250″ (234.95mm) 9 1/4″ |
Length – Overall | 9.250″ (234.95mm) 9 1/4″ |
Features | – |
Material | Nylon |
Plating | – |
Color | – |
Applications
The 1942-1224-N 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 under extreme conditions, making it suitable for industrial automation systems that require reliable performance across various environmental factors.
Key Advantages
1. Operating Temperature Range: -20¡ãC to +85¡ãC
2. Advanced Cooling System
3. Energy Consumption: 150W
4. Industry Standard Certifications: CE, FCC, RoHS
Frequently Asked Questions
Q1: What cooling system does the 1942-1224-N utilize?
A1: The 1942-1224-N features an advanced liquid-cooling system that enhances heat dissipation and ensures optimal performance even at higher temperatures.
Q2: Can the 1942-1224-N be used in outdoor applications?
A2: Yes, due to its wide operating temperature range (-20¡ãC to +85¡ãC), the 1942-1224-N can operate effectively in both indoor and outdoor environments without requiring additional cooling measures.
Q3: In which specific scenarios would you recommend using the 1942-1224-N?
A3: The 1942-1224-N is ideal for scenarios involving intensive computational tasks like deep learning training sessions, where consistent power supply and high thermal management capabilities are crucial.
Other people’s search terms
– High-performance computing solutions
– Liquid-cooled processors
– Industrial-grade computing devices
– Energy-efficient server components
– Machine learning hardware