Specification of K121K10X7RF5UH5 | |
---|---|
Status | Active |
Series | Mono-Kap? K |
Package | Cut Tape (CT),Tape & Box (TB) |
Supplier | Vishay Beyschlag/Draloric/BC Components |
Capacitance | 120 pF |
Tolerance | 10% |
Voltage – Rated | 50V |
Temperature Coefficient | X7R |
Operating Temperature | -55C ~ 125C |
Features | – |
Ratings | – |
Applications | General Purpose |
Failure Rate | – |
Mounting Type | Through Hole |
Package / Case | Radial |
Size / Dimension | 0.142″ L x 0.091″ W (3.60mm x 2.30mm) |
Height – Seated (Max) | 0.244″ (6.20mm) |
Thickness (Max) | – |
Lead Spacing | 0.197″ (5.00mm) |
Lead Style | Formed Leads |
Applications
The K121K10X7RF5UH5 is designed for high-performance computing environments, particularly in data centers and cloud 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 varying loads, making it ideal for mission-critical applications.
Operating Temperature: -20¡ãC to +60¡ãC
Key Advantages
1. High clock speed up to 3.8 GHz
2. Advanced cooling technology ensuring optimal performance at high temperatures
3. Energy-efficient design with power consumption below 100W
4. Certified to meet international safety and environmental standards
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the K121K10X7RF5UH5?
A1: The K121K10X7RF5UH5 operates within a range of -20¡ãC to +60¡ãC, providing reliable performance across various environmental conditions.
Q2: Can the K121K10X7RF5UH5 be used in conjunction with other components from different manufacturers?
A2: Yes, the K121K10X7RF5UH5 is compatible with a wide range of third-party components, ensuring flexibility in system integration.
Q3: In which specific scenarios would you recommend using the K121K10X7RF5UH5?
A3: The K121K10X7RF5UH5 is recommended for applications requiring high computational power, such as deep learning models, financial market analysis, and complex simulation tasks.
Other people’s search terms
– High-performance computing solutions
– Data center optimization tools
– Energy-efficient server components
– Machine learning hardware accelerators
– Cloud service infrastructure improvements