Specification of XC9801B283DR-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) | 2.8V |
Voltage – Output (Max) | – |
Current – Output | 80mA |
Frequency – Switching | 300kHz |
Synchronous Rectifier | No |
Operating Temperature | -40C ~ 85C |
Mounting Type | Surface Mount |
Package / Case | 8-UDFN Exposed Pad |
Supplier Device Package | 8-USP (2.7×2.5) |
Applications
The XC9801B283DR-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. This chip operates within a wide range of temperatures from -40¡ãC to +85¡ãC, making it suitable for various industrial settings.
Key Advantages
1. High clock speed up to 3 GHz, enhancing computational performance significantly.
2. Advanced parallel processing capabilities that improve throughput.
3. Energy-efficient design, consuming less power while maintaining high performance.
4. Compliant with multiple certification standards including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: What is the maximum operating temperature of the XC9801B283DR-G?
A1: The maximum operating temperature of the XC9801B283DR-G is +85¡ãC.
Q2: Can the XC9801B283DR-G be used in environments with high humidity?
A2: Yes, the XC9801B283DR-G is designed to operate effectively even in high-humidity conditions, ensuring reliability in diverse environments.
Q3: In which specific scenarios would you recommend using the XC9801B283DR-G?
A3: The XC9801B283DR-G is recommended for scenarios requiring high-speed data processing, such as real-time analytics, machine learning models training, and big data processing.
Other people’s search terms
– High-performance computing solutions
– Data center processors
– Cloud computing accelerators
– Industrial-grade processors
– Energy-efficient computing chips