Specification of K120K15C0GH53H5 | |
---|---|
Status | Active |
Series | Mono-Kap? K |
Package | Bulk |
Supplier | Vishay Beyschlag/Draloric/BC Components |
Capacitance | 12 pF |
Tolerance | 10% |
Voltage – Rated | 100V |
Temperature Coefficient | C0G, NP0 |
Operating Temperature | -55C ~ 125C |
Features | – |
Ratings | – |
Applications | General Purpose |
Failure Rate | – |
Mounting Type | Through Hole |
Package / Case | Radial |
Size / Dimension | 0.157″ L x 0.102″ W (4.00mm x 2.60mm) |
Height – Seated (Max) | 0.260″ (6.60mm) |
Thickness (Max) | – |
Lead Spacing | 0.197″ (5.00mm) |
Lead Style | Formed Leads |
Applications
The K120K15C0GH53H5 is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale simulations, machine learning tasks, and big data analytics. 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 optimized for extended runtime
4. Compliance with international safety and environmental standards
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the K120K15C0GH53H5?
A1: The K120K15C0GH53H5 operates within a range of -20¡ãC to +60¡ãC, providing reliable performance across various environmental conditions.
Q2: Can the K120K15C0GH53H5 be used in conjunction with other hardware components?
A2: Yes, the K120K15C0GH53H5 is compatible with a wide range of hardware components, including memory modules, storage devices, and network interfaces, facilitating seamless integration into existing systems.
Q3: In which specific scenarios would the K120K15C0GH53H5 be most beneficial?
A3: The K120K15C0GH53H5 is particularly beneficial in scenarios requiring high computational power, such as scientific research, financial modeling, and artificial intelligence training, where its high clock speed and energy efficiency make it an excellent choice.
Other people’s search terms
– High-performance computing solutions
– Data center hardware optimization
– Machine learning acceleration
– Big data processing capabilities
– Energy-efficient server components