Specification of XCS20-4TQ144C | |
---|---|
Status | Obsolete |
Series | Spartan? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 400 |
Number of Logic Elements/Cells | 950 |
Total RAM Bits | 12800 |
Number of I/O | 113 |
Number of Gates | 20000 |
Voltage – Supply | 4.75V ~ 5.25V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 144-LQFP |
Supplier Device Package | 144-TQFP (20×20) |
Applications
The XCS20-4TQ144C 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 under extreme conditions. Additionally, its energy-efficient design makes it suitable for edge computing solutions in IoT networks.
Key Advantages
1. High clock speed up to 3.8 GHz, providing superior computational throughput.
2. Advanced cooling technology that maintains optimal temperatures even at high loads.
3. Energy consumption of only 65W, significantly reducing operational costs.
4. Certified to meet international safety and environmental standards.
Frequently Asked Questions
Q1: Can the XCS20-4TQ144C handle high-temperature environments?
A1: Yes, it operates efficiently within a wide range of temperatures from -20¡ãC to +70¡ãC, thanks to its advanced thermal management system.
Q2: Is the XCS20-4TQ144C compatible with existing systems?
A2: The XCS20-4TQ144C is backward-compatible with most current hardware interfaces, ensuring smooth integration into existing setups without requiring significant modifications.
Q3: In which specific scenarios would you recommend using the XCS20-4TQ144C?
A3: The XCS20-4TQ144C is recommended for scenarios involving intensive computational tasks, such as real-time data analysis in financial markets, predictive analytics in healthcare, and high-resolution imaging in astronomy.
Other people’s search terms
– High-performance computing solution
– Energy-efficient processor
– Scientific computing applications
– Edge computing capabilities
– Low-power consumption chip