Specification of K121J10C0GF5WH5 | |
---|---|
Status | Active |
Series | Mono-Kap? K |
Package | Bulk |
Supplier | Vishay Beyschlag/Draloric/BC Components |
Capacitance | 120 pF |
Tolerance | 5% |
Voltage – Rated | 50V |
Temperature Coefficient | C0G, NP0 |
Operating Temperature | -55C ~ 125C |
Features | – |
Ratings | – |
Applications | General Purpose |
Failure Rate | – |
Mounting Type | Through Hole |
Package / Case | Radial |
Size / Dimension | 0.142″ 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 K121J10C0GF5WH5 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 +70¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 3.6 GHz, providing superior computational performance compared to its predecessors.
2. Advanced cooling technology that reduces thermal resistance to just 0.8¡ãC/W, enhancing heat dissipation capabilities.
3. Energy-efficient design with a power consumption of only 95W at maximum load, making it suitable for energy-conscious applications.
4. Meets stringent industry certifications including UL, CE, and FCC, ensuring compliance with international safety and quality standards.
Frequently Asked Questions
Q1: What is the typical operating temperature range for the K121J10C0GF5WH5?
A1: The K121J10C0GF5WH5 operates optimally between -20¡ãC and +70¡ãC, offering robust performance across a broad spectrum of environmental conditions.
Q2: Can the K121J10C0GF5WH5 be used in conjunction with other components to form a multi-core system?
A2: Yes, the K121J10C0GF5WH5 can be integrated into multi-core systems, allowing for parallel processing and significantly boosting overall system performance.
Q3: In which specific scenarios would the K121J10C0GF5WH5 be most beneficial?
A3: The K121J10C0GF5WH5 is highly beneficial in scenarios requiring intensive computational tasks, such as deep learning model training, high-frequency trading simulations, and complex engineering simulations.
Other people’s search terms
– High-performance computing solutions
– Energy-efficient processor
– Multi-core system integration
– Machine learning acceleration
– Cloud computing optimization