Specification of XC17256EPD8I | |
---|---|
Status | Obsolete |
Package | Tube |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Programmable Type | OTP |
Memory Size | 256Kb |
Voltage – Supply | 4.5V ~ 5.5V |
Operating Temperature | -40C ~ 85C |
Mounting Type | Through Hole |
Package / Case | 8-DIP (0.300″, 7.62mm) |
Supplier Device Package | 8-PDIP |
Applications
The XC17256EPD8I is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in scientific research applications such as climate modeling and molecular dynamics simulations, offering robust computational capabilities at temperatures up to 80°C.
Key Advantages
1. High clock speed of 3.5 GHz, enabling faster execution of complex algorithms.
2. Advanced memory management system that optimizes data access patterns for improved performance.
3. Energy-efficient design with a power consumption of only 15W under maximum load, making it suitable for energy-conscious applications.
4. Complies with international safety and environmental standards, ensuring reliable operation in diverse industrial settings.
Frequently Asked Questions
Q1: Can the XC17256EPD8I be used in high-temperature environments?
A1: Yes, it can operate effectively at temperatures up to 80°C, which is beneficial for applications requiring continuous operation in hot climates.
Q2: What are the compatibility requirements for the XC17256EPD8I?
A2: The XC17256EPD8I is compatible with various operating systems and hardware configurations, including modern GPUs and high-speed network interfaces, facilitating seamless integration into existing infrastructures.
Q3: In which specific scenarios would the XC17256EPD8I be most effective?
A3: The XC17256EPD8I is most effective in scenarios requiring intensive computational tasks, such as real-time data analysis in financial markets, predictive analytics in healthcare, and advanced machine learning models in autonomous vehicle technology.
Other people’s search terms
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– Scalable computing platforms for scientific research