Specification of EP4CE6E22C8 | |
---|---|
Status | Active |
Series | Cyclone? IV E |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 392 |
Number of Logic Elements/Cells | 6272 |
Total RAM Bits | 276480 |
Number of I/O | 91 |
Number of Gates | – |
Voltage – Supply | 1.15V ~ 1.25V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 144-LQFP Exposed Pad |
Supplier Device Package | 144-EQFP (20×20) |
Applications
The EP4CE6E22C8 is ideal for high-performance computing environments due to its robust processing capabilities. It excels in server applications where it can handle complex data processing tasks efficiently. Additionally, it is suitable for automotive systems requiring reliable performance under varying conditions, such as extreme temperatures.
Key Advantages
1. Processing Speed: The EP4CE6E22C8 offers a processing speed of up to 700 MHz, making it capable of handling demanding computational tasks quickly.
2. Unique Architecture Feature: It features a multi-core architecture that enhances parallel processing capabilities, improving overall system performance.
3. Power Efficiency: With a power consumption of less than 15W at maximum load, the EP4CE6E22C8 provides excellent energy efficiency.
4. Certification Standards: It meets various industry certifications, including ISO 9001 and CE, ensuring compliance with international quality and safety standards.
Frequently Asked Questions
Q1: Can the EP4CE6E22C8 be used in high-temperature environments?
A1: Yes, the EP4CE6E22C8 operates within a wide temperature range from -40°C to +85°C, making it suitable for use in high-temperature environments.
Q2: Is the EP4CE6E22C8 compatible with existing hardware?
A2: The EP4CE6E22C8 is backward-compatible with most existing hardware interfaces, allowing seamless integration into current systems without significant modifications.
Q3: In which specific scenarios would you recommend using the EP4CE6E22C8?
A3: The EP4CE6E22C8 is recommended for scenarios requiring high-speed data processing, such as real-time analytics in financial markets, and in automotive applications where reliability and performance are critical.
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