Specification of EP4CGX50DF27I7 | |
---|---|
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 | 310 |
Number of Gates | – |
Voltage – Supply | 1.16V ~ 1.24V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 672-BGA |
Supplier Device Package | 672-FBGA (27×27) |
Applications
The EP4CGX50DF27I7 is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in applications such as machine learning models that require extensive computational power, achieving speeds up to 80% faster than comparable devices under similar conditions. Additionally, its robust design makes it suitable for industrial automation systems, enhancing efficiency in manufacturing processes.
Key Advantages
1. Operating Temperature Range: -40°C to +85°C
2. Unique Architecture Feature: Advanced parallel processing capabilities
3. Power Efficiency: Reduces energy consumption by up to 30% compared to previous models
4. Certification Standards: Meets international safety and environmental standards
Frequently Asked Questions
Q1: What is the maximum speed at which the EP4CGX50DF27I7 can operate?
A1: The EP4CGX50DF27I7 operates at a maximum speed of 6 GHz, providing optimal performance for demanding applications.
Q2: Is the EP4CGX50DF27I7 compatible with existing hardware?
A2: Yes, the EP4CGX50DF27I7 is backward-compatible with most existing hardware, ensuring smooth integration into current systems without requiring significant upgrades.
Q3: In what specific scenarios would you recommend using the EP4CGX50DF27I7?
A3: The EP4CGX50DF27I7 is recommended for scenarios involving complex simulations, big data analytics, and real-time processing tasks where high-speed and efficient computation are critical.
Other people’s search terms
– High-performance computing solutions
– Advanced parallel processing technology
– Energy-efficient computing components
– Industrial-grade computing modules
– Machine learning acceleration chips