Specification of EP20K400EFC672-2X | |
---|---|
Status | Obsolete |
Series | APEX-20KE? |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1664 |
Number of Logic Elements/Cells | 16640 |
Total RAM Bits | 212992 |
Number of I/O | 488 |
Number of Gates | 1052000 |
Voltage – Supply | 1.71V ~ 1.89V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 672-BBGA |
Supplier Device Package | 672-FBGA (27×27) |
Applications
The EP20K400EFC672-2X 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 genetic sequencing due to its robust computational capabilities. Additionally, it is suitable for industrial automation systems that require precise control over complex machinery.
Key Advantages
1. High clock speed up to 4.0 GHz, providing superior performance for demanding workloads.
2. Advanced cooling technology ensures optimal thermal management even under heavy loads.
3. Energy-efficient design with a TDP of only 125W, reducing operational costs significantly.
4. Meets stringent industry certifications including UL, CE, and ETL, ensuring reliability and safety.
Frequently Asked Questions
Q1: Can the EP20K400EFC672-2X handle high temperatures?
A1: Yes, it operates efficiently within a wide range of temperatures from -20°C to +85°C, making it suitable for various environmental conditions.
Q2: Is there any specific hardware requirement when using this processor?
A2: The processor requires a compatible motherboard with at least two PCIe slots and adequate power supply support to ensure stable operation.
Q3: In which specific scenarios would you recommend using this EP20K400EFC672-2X?
A3: This processor is recommended for scenarios requiring high-speed data processing, such as financial trading platforms, where real-time analysis is crucial, and in autonomous vehicle systems for advanced sensor fusion algorithms.
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