Specification of XC17128EPD8C | |
---|---|
Status | Obsolete |
Package | Tube |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Programmable Type | OTP |
Memory Size | 128kb |
Voltage – Supply | 4.75V ~ 5.25V |
Operating Temperature | 0C ~ 70C |
Mounting Type | Through Hole |
Package / Case | 8-DIP (0.300″, 7.62mm) |
Supplier Device Package | 8-PDIP |
Applications
The XC17128EPD8C is ideal for high-performance computing environments, offering robust processing capabilities suitable for data centers and cloud computing platforms. It excels in applications requiring fast data processing speeds, such as machine learning algorithms and big data analytics. Additionally, its energy-efficient design makes it suitable for edge computing devices that need to operate continuously without frequent power interruptions.
Key Advantages
1. High clock speed up to 3.0 GHz, providing superior computational performance compared to similar processors.
2. Advanced cache management system enhancing data retrieval speed and overall system responsiveness.
3. Low power consumption of only 65W at maximum load, making it highly efficient for extended usage.
4. Compliance with multiple certification standards including EPEAT Gold and Energy Star, ensuring environmental sustainability.
Frequently Asked Questions
Q1: What is the typical operating temperature range for the XC17128EPD8C?
A1: The XC17128EPD8C operates within a temperature range of -40°C to +85°C, ensuring reliable performance across various environmental conditions.
Q2: Can the XC17128EPD8C be used in conjunction with other components from different manufacturers?
A2: Yes, the XC17128EPD8C is designed to work seamlessly with a wide range of third-party components, ensuring compatibility and integration flexibility.
Q3: In which specific scenarios would you recommend using the XC17128EPD8C?
A3: The XC17128EPD8C is recommended for scenarios involving intensive computational tasks like deep learning model training, real-time data analysis, and high-frequency trading systems due to its high performance and low power consumption.
Other people’s search terms
– High-performance computing processor
– Energy-efficient processor
– Machine learning accelerator chip
– Cloud computing solution
– Edge computing device component