Specification of EP4SGX180KF40C2N | |
---|---|
Status | Obsolete |
Series | Stratix? IV GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 7030 |
Number of Logic Elements/Cells | 175750 |
Total RAM Bits | 13954048 |
Number of I/O | 744 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1517-BBGA, FCBGA |
Supplier Device Package | 1517-FBGA (40×40) |
Applications
The EP4SGX180KF40C2N is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in applications requiring extensive parallel processing capabilities such as machine learning, artificial intelligence training, and big data analytics. This chip operates efficiently within a wide range of temperatures from -40°C to +85°C, making it suitable for various global deployment scenarios.
Key Advantages
1. The EP4SGX180KF40C2N features a 7nm process technology that significantly reduces power consumption while maintaining high performance.
2. Its unique architecture includes advanced memory management systems that enhance data throughput and reduce latency.
3. The chip achieves a power efficiency of up to 1.5W/MHz, which is crucial for energy-efficient data centers.
4. It has been certified to meet international safety and environmental standards, ensuring reliable operation under diverse conditions.
Frequently Asked Questions
Q1: Can the EP4SGX180KF40C2N be used in environments with extreme temperatures?
A1: Yes, the chip is designed to operate effectively between -40°C and +85°C, making it suitable for both cold and hot climates.
Q2: What is the maximum power efficiency of the EP4SGX180KF40C2N?
A2: The maximum power efficiency achieved by the EP4SGX180KF40C2N is 1.5W/MHz, demonstrating its capability to handle demanding workloads without excessive power draw.
Q3: In which specific scenarios would you recommend using the EP4SGX180KF40C2N?
A3: The EP4SGX180KF40C2N is ideal for scenarios involving large-scale data processing tasks, such as real-time analytics, deep learning model training, and high-frequency trading simulations.
Other people’s search terms
– High-performance computing solutions
– Energy-efficient processors for data centers
– Advanced memory management in AI applications
– Chip certification for global deployment
– Parallel processing capabilities for machine learning