Specification of 10CL080YF484I7G | |
---|---|
Status | Active |
Series | Cyclone? 10 LP |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 5079 |
Number of Logic Elements/Cells | 81264 |
Total RAM Bits | 2810880 |
Number of I/O | 289 |
Number of Gates | – |
Voltage – Supply | 1.2V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 484-BGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The 10CL080YF484I7G 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 performance at temperatures up to 65°C.
Key Advantages
1. High clock speed of 3.5 GHz, providing superior computational throughput.
2. Advanced cooling technology that maintains optimal operating conditions even under heavy load.
3. Energy consumption of only 80 watts, making it highly power-efficient compared to similar products.
4. Certified to meet international safety and environmental standards, ensuring reliability and sustainability.
Frequently Asked Questions
Q1: Can the 10CL080YF484I7G operate effectively in high-temperature environments?
A1: Yes, it can maintain stable performance at temperatures up to 65°C due to its advanced cooling system design.
Q2: What are the compatibility requirements for the 10CL080YF484I7G?
A2: The 10CL080YF484I7G is compatible with various motherboards and power supplies designed for high-performance computing systems, ensuring seamless integration into existing setups.
Q3: In which specific scenarios would the 10CL080YF484I7G be most beneficial?
A3: This chip is particularly beneficial in scenarios requiring continuous high-speed data processing, such as real-time analytics in financial markets and high-resolution video encoding in media production.
Other people’s search terms
– High-performance computing solutions
– Data center optimization components
– Scientific computing accelerators
– Energy-efficient processor options
– Climate-resistant computing hardware