Specification of EP4SGX360KF40I3N | |
---|---|
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 | 744 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 1517-BBGA, FCBGA |
Supplier Device Package | 1517-FBGA (40×40) |
Applications
The EP4SGX360KF40I3N is designed for high-performance computing environments, particularly in fields requiring extensive data processing such as artificial intelligence training, big data analytics, and scientific simulations.
In the financial sector, it supports complex algorithmic trading systems that require rapid execution and high computational power. It also finds application in healthcare for advanced medical imaging analysis and predictive modeling.
Technical Parameters:
- Operating Temperature: -20°C to +70°C
- Power Consumption: Up to 80W at maximum load
- Data Transfer Rate: 10Gbps
Key Advantages
1. High Performance Computing Capabilities
2. Scalable Architecture Design
3. Energy Efficiency Rating: Below 1W per core under typical workloads
4. Compliance with Industry Standards: ISO 9001, CE Marking, and RoHS Directive
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the EP4SGX360KF40I3N?
A1: The EP4SGX360KF40I3N operates within a range of -20°C to +70°C, ensuring reliability across various environmental conditions.
Q2: Can the EP4SGX360KF40I3N be used in conjunction with other hardware components?
A2: Yes, it is compatible with a wide range of hardware components, including motherboards, cooling solutions, and power supplies, making it versatile for different system configurations.
Q3: In which specific scenarios would you recommend using the EP4SGX360KF40I3N?
A3: This component is ideal for scenarios involving large-scale data processing tasks, such as machine learning model training, where its high performance and energy efficiency make it a cost-effective solution.
Other people’s search terms
– High-performance computing solutions
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– Industry-standard compliant processors
– Advanced data analytics hardware