Specification of EP4SGX360KF43C2N | |
---|---|
Status | Obsolete |
Series | Stratix? IV GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 14144 |
Number of Logic Elements/Cells | 353600 |
Total RAM Bits | 23105536 |
Number of I/O | 880 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1760-BBGA, FCBGA |
Supplier Device Package | 1760-FCBGA (42.5×42.5) |
Applications
The EP4SGX360KF43C2N is designed for high-performance computing environments, particularly in fields requiring extensive data processing such as artificial intelligence, machine learning, and scientific simulations.
In the field of AI, it supports deep learning models with its robust computational capabilities, capable of handling large datasets efficiently. It operates within a wide range of temperatures from -20°C to +70°C, making it suitable for various industrial settings.
For scientific simulations, its high-speed processing power accelerates complex calculations, enabling faster research outcomes. Its energy-efficient design also makes it ideal for applications where power consumption needs to be minimized without compromising performance.
Key Advantages
1. High clock speed up to 3.6 GHz, providing superior computational throughput.
2. Advanced parallel processing architecture that enhances multi-threaded applications.
3. Energy efficiency rating of less than 100W, reducing operational costs.
4. Compliance with multiple certification standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the EP4SGX360KF43C2N?
A1: The EP4SGX360KF43C2N can operate effectively at temperatures ranging from -20°C to +70°C, ensuring reliability across diverse environments.
Q2: Can the EP4SGX360KF43C2N be used in conjunction with other hardware components?
A2: Yes, it is compatible with a variety of hardware configurations, including different types of memory modules and cooling systems, allowing for flexible system integration.
Q3: In which specific scenarios would you recommend using the EP4SGX360KF43C2N?
A3: This processor is recommended for scenarios involving heavy computational tasks like training neural networks, running complex simulations, and executing large-scale data analytics projects.
Other people’s search terms
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