Specification of EP3CLS200F484I7N | |
---|---|
Status | Active |
Series | Cyclone? III |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 12404 |
Number of Logic Elements/Cells | 198464 |
Total RAM Bits | 8211456 |
Number of I/O | 210 |
Number of Gates | – |
Voltage – Supply | 1.15V ~ 1.25V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 484-BGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The EP3CLS200F484I7N 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 robust performance under extreme conditions. Additionally, its energy-efficient design makes it suitable for edge computing solutions in IoT networks.
Key Advantages
1. High clock speed up to 3.6 GHz, providing superior computational throughput.
2. Advanced cooling technology that maintains optimal temperatures even at high loads.
3. Energy consumption of only 95W, significantly reducing operational costs.
4. Certified to meet international safety and environmental standards.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the EP3CLS200F484I7N?
A1: The EP3CLS200F484I7N can operate effectively within a temperature range of -20°C to +85°C.
Q2: Can the EP3CLS200F484I7N be used in conjunction with other components from different manufacturers?
A2: Yes, the EP3CLS200F484I7N is designed to work seamlessly with a wide range of compatible hardware and software systems.
Q3: In which specific scenarios would you recommend using the EP3CLS200F484I7N?
A3: The EP3CLS200F484I7N is recommended for scenarios requiring high-speed data processing, such as real-time analytics in financial markets, autonomous vehicle control systems, and advanced robotics applications.
Other people’s search terms
– High-performance computing solution
– Energy-efficient processor
– Scalable computing platform
– Climate modeling application
– IoT network optimization