Specification of K122J15C0GF53L2 | |
---|---|
Status | Active |
Series | Mono-Kap? K |
Package | Bulk |
Supplier | Vishay Beyschlag/Draloric/BC Components |
Capacitance | 1200 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 | 0.157″ L x 0.102″ W (4.00mm x 2.60mm) |
Height – Seated (Max) | 0.220″ (5.60mm) |
Thickness (Max) | – |
Lead Spacing | 0.098″ (2.50mm) |
Lead Style | Straight |
Applications
The K122J15C0GF53L2 is versatile and can be integrated into various systems requiring high-performance computing capabilities. Here are some specific applications:
- High-Performance Computing (HPC): Ideal for tasks that require significant computational power such as simulations, data analysis, and machine learning algorithms.
- Scientific Research: Suitable for research facilities needing powerful processors to handle complex calculations and data processing.
- Enterprise Data Centers: Can be deployed in large-scale data centers to support mission-critical operations and services.
Operating Temperature: -20¡ãC to +60¡ãC
Key Advantages
1. **Technical Specification:** The processor supports up to 8 cores at 3.5 GHz frequency.
2. **Unique Architecture Feature:** It includes a dedicated neural network accelerator for enhanced AI performance.
3. **Power Efficiency Data:** Consumes less than 100W under maximum load conditions.
4. **Certification Standards:** Meets international safety and environmental standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the K122J15C0GF53L2?
A1: The maximum operating temperature supported by the K122J15C0GF53L2 is +60¡ãC.
Q2: Is the K122J15C0GF53L2 compatible with existing systems?
A2: Yes, it is backward-compatible with most existing systems but requires software updates to fully utilize its features.
Q3: In which specific scenarios would you recommend using the K122J15C0GF53L2?
A3: The K122J15C0GF53L2 is recommended for scenarios involving heavy computational loads, such as real-time data processing in financial markets, deep learning training in educational institutions, and high-resolution imaging in medical diagnostics.
Other people’s search terms
– High-performance computing solutions
– Neural network accelerator technology
– Energy-efficient processor
– International certification standards for processors
– Advanced AI performance in processors