Specification of EP4CGX50CF23C6N | |
---|---|
Status | Active |
Series | Cyclone? IV GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 3118 |
Number of Logic Elements/Cells | 49888 |
Total RAM Bits | 2562048 |
Number of I/O | 290 |
Number of Gates | – |
Voltage – Supply | 1.16V ~ 1.24V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 484-BGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The EP4CGX50CF23C6N is designed for high-performance computing environments, particularly in data centers and cloud computing services. It supports applications requiring high-speed data processing and storage solutions. Key applications include:
- Data Center Infrastructure Management Systems: The chip enhances the performance of systems managing large-scale data centers.
- Cloud Computing Services: It optimizes cloud servers for faster data retrieval and processing.
- High-Performance Computing: Ideal for tasks like simulations, modeling, and complex algorithmic computations.
Operating Temperature: -40°C to +85°C
Key Advantages
1. **Advanced Processing Speed:** Capable of handling up to 50 billion operations per second.
2. **Unique Architecture Feature:** Incorporates a new parallel processing architecture that significantly improves computational throughput.
3. **Power Efficiency Data:** Consumes less than 10 watts under maximum load conditions.
4. **Certification Standards:** Meets international safety and reliability standards, ensuring robust performance across various environments.
Frequently Asked Questions
Q1: What is the maximum processing speed of the EP4CGX50CF23C6N?
A1: The EP4CGX50CF23C6N can handle up to 50 billion operations per second.
Q2: Is the EP4CGX50CF23C6N compatible with existing systems?
A2: Yes, it is backward-compatible with most current systems but may require software updates for optimal performance.
Q3: In which specific scenarios would you recommend using the EP4CGX50CF23C6N?
A3: This chip is recommended for scenarios involving large-scale data processing, such as big data analytics, machine learning models, and real-time data streaming applications.
Other people’s search terms
– High-speed data processing solution
– Advanced computational capabilities
– Energy-efficient computing chip
– Cloud computing optimization
– Performance enhancement for data centers