Specification of XC9801B583KR-G | |
---|---|
Status | Active |
Series | XC9801 |
Package | Tape & Reel (TR) |
Supplier | Torex Semiconductor Ltd |
Function | Step-Up |
Output Configuration | Positive |
Topology | Boost |
Output Type | Fixed |
Number of Outputs | 1 |
Voltage – Input (Min) | 1.8V |
Voltage – Input (Max) | 5.5V |
Voltage – Output (Min/Fixed) | 5.8V |
Voltage – Output (Max) | – |
Current – Output | 80mA |
Frequency – Switching | 300kHz |
Synchronous Rectifier | No |
Operating Temperature | -40C ~ 85C |
Mounting Type | Surface Mount |
Package / Case | 8-TSSOP, 8-MSOP (0.118″, 3.00mm Width) |
Supplier Device Package | 8-MSOP |
Applications
The XC9801B583KR-G is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks efficiently. Key applications include:
- Data analytics platforms that require fast data processing speeds.
- Machine learning models that demand significant computational power.
- High-frequency trading systems needing precise timing and performance.
Operating Temperature: -20¡ãC to +70¡ãC
Key Advantages
1. High clock speed up to 3.5 GHz, enabling faster execution of complex algorithms.
2. Advanced cache management system enhancing data retrieval speed.
3. Energy-efficient design with low power consumption per core.
4. Compliant with multiple industry certifications ensuring reliability and security.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the XC9801B583KR-G?
A1: The XC9801B583KR-G supports a maximum clock speed of 3.5 GHz.
Q2: Is the XC9801B583KR-G compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current hardware configurations but may require software updates for optimal performance.
Q3: In which specific scenarios would you recommend using the XC9801B583KR-G?
A3: The XC9801B583KR-G is recommended for scenarios requiring high-speed data processing, such as real-time data analysis in financial markets and deep learning model training in research labs.
Other people’s search terms
– High-performance computing solutions
– Data center optimization tools
– Machine learning acceleration chips
– Energy-efficient processor technology
– Industry-standard certified processors