Specification of EP4CGX150CF23C8N | |
---|---|
Status | Active |
Series | Cyclone? IV GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 9360 |
Number of Logic Elements/Cells | 149760 |
Total RAM Bits | 6635520 |
Number of I/O | 270 |
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 EP4CGX150CF23C8N is ideal for high-performance computing environments, particularly in data centers and cloud computing services. It supports large-scale parallel processing tasks efficiently. In the automotive industry, it enhances the performance of advanced driver assistance systems (ADAS) and infotainment systems. Its robust design makes it suitable for industrial automation applications, supporting complex control systems.
Key Advantages
1. Operating temperature range from -40°C to +85°C, ensuring reliability in extreme conditions.
2. Advanced multi-core architecture for enhanced computational power.
3. Energy consumption of only 15W at maximum load, making it highly energy-efficient.
4. Certified to meet international safety and environmental standards such as CE, RoHS, and UL.
Frequently Asked Questions
Q1: What is the maximum operating temperature of the EP4CGX150CF23C8N?
A1: The maximum operating temperature of the EP4CGX150CF23C8N is +85°C.
Q2: Can the EP4CGX150CF23C8N be used in environments with high humidity levels?
A2: Yes, the EP4CGX150CF23C8N has been designed to operate effectively in environments with relative humidity up to 95% non-condensing.
Q3: How does the EP4CGX150CF23C8N support ADAS in vehicles?
A3: The EP4CGX150CF23C8N provides the necessary computational power and processing speed required for real-time object detection, lane departure warning, and other critical functions in ADAS systems.
Other people’s search terms
– High-performance computing solutions
– Automotive-grade processors
– Industrial automation components
– Low-power embedded systems
– Enhanced computational performance