Specification of EP3SL110F780C2N | |
---|---|
Status | Obsolete |
Series | Stratix? III L |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 4300 |
Number of Logic Elements/Cells | 107500 |
Total RAM Bits | 4992000 |
Number of I/O | 488 |
Number of Gates | – |
Voltage – Supply | 0.86V ~ 1.15V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 780-BBGA, FCBGA |
Supplier Device Package | 780-FBGA (29×29) |
Applications
The EP3SL110F780C2N 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 molecular dynamics simulations, offering exceptional computational power. Additionally, its robust design makes it suitable for industrial automation systems requiring precise control and monitoring.
Key Advantages
1. High clock speed up to 3.6 GHz, providing superior performance compared to similar processors.
2. Advanced cache management system that enhances data retrieval speeds significantly.
3. Energy-efficient design with low power consumption, making it suitable for extended operation without overheating concerns.
4. Certified to meet international safety and environmental standards, ensuring reliability and sustainability.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the EP3SL110F780C2N?
A1: The EP3SL110F780C2N can operate effectively within a temperature range of -40°C to +85°C, ensuring stable performance across various environmental conditions.
Q2: Can the EP3SL110F780C2N be used in conjunction with other hardware components?
A2: Yes, the EP3SL110F780C2N is designed to work seamlessly with a wide array of hardware components, including memory modules, storage devices, and cooling solutions, enhancing overall system performance.
Q3: In which specific scenarios would you recommend using the EP3SL110F780C2N?
A3: The EP3SL110F780C2N is recommended for scenarios involving complex data analysis, such as big data processing, machine learning algorithms, and real-time analytics, where high-speed computation and efficient resource utilization are critical.
Other people’s search terms
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– Advanced cache technology