Specification of EPM570F100C5N | |
---|---|
Status | Active |
Series | MAX? II |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Programmable Type | In System Programmable |
Delay Time tpd(1) Max | 5.4 ns |
Voltage Supply – Internal | 2.5V, 3.3V |
Number of Logic Elements/Blocks | 570 |
Number of Macrocells | 440 |
Number of Gates | – |
Number of I/O | 76 |
Operating Temperature | 0C ~ 85C (TJ) |
Mounting Type | Surface Mount |
Package / Case | 100-LBGA |
Supplier Device Package | 100-FBGA (11×11) |
Applications
The EPM570F100C5N 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 exceptional computational power. Additionally, its robust design makes it suitable for industrial automation systems requiring precise control over complex machinery.
Key Advantages
1. High clock speed up to 3.8 GHz, providing superior performance compared to similar processors.
2. Advanced cache management system that enhances data retrieval speeds significantly.
3. Energy-efficient design with low power consumption per core, making it cost-effective for long-term operations.
4. Complies with multiple industry-standard certifications ensuring reliability and security.
Frequently Asked Questions
Q1: Can the EPM570F100C5N handle high-frequency trading applications?
A1: Yes, its high clock speed and efficient cache management make it well-suited for real-time data processing required in high-frequency trading.
Q2: Is the EPM570F100C5N compatible with existing infrastructure?
A2: The processor is backward-compatible with most current hardware setups but may require minor software adjustments for optimal performance.
Q3: In which specific scenarios would you recommend using the EPM570F100C5N?
A3: This processor is recommended for scenarios involving extensive data analysis, such as big data processing and machine learning algorithms, where high computational power and energy efficiency are crucial.
Other people’s search terms
– High-performance computing solutions
– Data center processors
– Scientific computing accelerators
– Industrial automation processors
– Energy-efficient computing components