Specification of EP2AGX45DF25C6N | |
---|---|
Status | Obsolete |
Series | Arria II GX |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1805 |
Number of Logic Elements/Cells | 42959 |
Total RAM Bits | 3517440 |
Number of I/O | 252 |
Number of Gates | – |
Voltage – Supply | 0.87V ~ 0.93V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 572-BGA, FCBGA |
Supplier Device Package | 572-FBGA, FC (25×25) |
Applications
The EP2AGX45DF25C6N 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 computational power at temperatures up to 80°C.
Key Advantages
1. High clock speed of 3.7 GHz, providing superior performance compared to its predecessors.
2. Advanced memory interface capable of handling up to 1 TB of DDR5 RAM simultaneously.
3. Energy-efficient design with a TDP of only 150W, reducing operational costs significantly.
4. Certified to meet stringent industrial standards including IP67 for dust and water resistance.
Frequently Asked Questions
Q1: Can the EP2AGX45DF25C6N operate effectively in high-temperature environments?
A1: Yes, it can operate efficiently within a temperature range of -20°C to +80°C due to its advanced cooling technology.
Q2: Is there any specific hardware requirement when using the EP2AGX45DF25C6N?
A2: The EP2AGX45DF25C6N requires a compatible motherboard that supports DDR5 memory and has adequate cooling solutions to manage heat dissipation.
Q3: In which industries is the EP2AGX45DF25C6N most commonly used?
A3: This chip is predominantly used in the fields of artificial intelligence, machine learning, and big data analytics, where high computational demands are critical.
Other people’s search terms
– High-performance computing solution
– DDR5 memory support
– Industrial-grade temperature operation
– Energy-efficient processor
– AI and ML applications