Specification of EP2AGX65DF29C4G | |
---|---|
Status | Active |
Series | Arria II GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 2530 |
Number of Logic Elements/Cells | 60214 |
Total RAM Bits | 5371904 |
Number of I/O | 364 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 780-BBGA, FCBGA |
Supplier Device Package | 780-FBGA (29×29) |
Applications
The EP2AGX65DF29C4G is ideal for high-performance computing environments, particularly in data centers and cloud computing services. It excels in applications requiring extensive parallel processing capabilities such as machine learning algorithms, big data analytics, and scientific simulations.
In the automotive industry, it supports advanced driver assistance systems (ADAS) and autonomous driving features, enhancing vehicle safety and performance through complex sensor fusion and real-time decision-making processes.
For industrial automation, it powers smart manufacturing solutions that require precise control over machinery operations, optimizing production cycles and improving product quality.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High clock speed up to 3.7 GHz, enabling faster execution of tasks.
2. Advanced memory management system for efficient data handling.
3. Energy-efficient design with low power consumption per core.
4. Compliance with multiple industry-standard certifications ensuring reliability and security.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the EP2AGX65DF29C4G?
A1: The EP2AGX65DF29C4G supports a maximum clock speed of 3.7 GHz.
Q2: Can the EP2AGX65DF29C4G be used in environments with extreme temperatures?
A2: Yes, it operates within a wide range of temperatures from -40°C to +85°C, making it suitable for various environmental conditions.
Q3: In which specific scenarios would you recommend using the EP2AGX65DF29C4G?
A3: The EP2AGX65DF29C4G is recommended for scenarios involving high computational demands, such as deep learning model training, large-scale data analysis, and real-time control systems in critical industries like aerospace and automotive.
Other people’s search terms
– High-performance computing solutions
– Automotive ADAS processors
– Industrial automation controllers
– Machine learning accelerators
– Smart manufacturing technologies