Specification of EP4SGX530HH35C2N | |
---|---|
Status | Obsolete |
Series | Stratix? IV GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 21248 |
Number of Logic Elements/Cells | 531200 |
Total RAM Bits | 28033024 |
Number of I/O | 564 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1152-BBGA, FCBGA |
Supplier Device Package | 1152-HBGA (42.5×42.5) |
Applications
The EP4SGX530HH35C2N is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It supports applications requiring high computational power, like machine learning models, big data analytics, and scientific simulations.
In the automotive industry, it powers advanced driver assistance systems (ADAS) and autonomous driving features, enhancing vehicle safety and performance. Its robust design ensures reliability under various environmental conditions.
For industrial automation, it enables complex control systems that require precise timing and processing capabilities, supporting tasks like robotics and manufacturing automation.
Operating Temperature: -20°C to +70°C
Key Advantages
1. High clock speed up to 3.5 GHz, providing superior processing power.
2. Advanced memory interface for faster data transfer rates.
3. Energy-efficient design with low power consumption per core.
4. Compliance with multiple industry certifications ensuring quality and reliability.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the EP4SGX530HH35C2N?
A1: The EP4SGX530HH35C2N supports a maximum clock speed of 3.5 GHz.
Q2: Can the EP4SGX530HH35C2N be used in environments with extreme temperatures?
A2: Yes, it operates within a wide range of temperatures from -20°C to +70°C, making it suitable for diverse deployment scenarios.
Q3: In which specific scenarios would you recommend using the EP4SGX530HH35C2N?
A3: This processor is recommended for scenarios involving high-performance computing, such as running large-scale machine learning algorithms, handling massive datasets in real-time, and executing complex simulations in industrial settings.
Other people’s search terms
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