Specification of XC6SLX75-N3FG484C | |
---|---|
Status | Obsolete |
Series | Spartan?-6 LX |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 5831 |
Number of Logic Elements/Cells | 74637 |
Total RAM Bits | 3170304 |
Number of I/O | 280 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 484-BBGA |
Supplier Device Package | 484-FBGA (23×23) |
Applications
The XC6SLX75-N3FG484C is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in applications such as artificial intelligence training, big data analytics, and cloud computing services. This device operates within a wide range of temperatures from -40¡ãC to +85¡ãC, making it suitable for various industrial settings.
Key Advantages
1. Processing Speed: The XC6SLX75-N3FG484C features a high-speed processor capable of handling complex computational tasks efficiently.
2. Scalability: Its modular design allows for easy expansion and integration into larger systems without significant downtime.
3. Energy Efficiency: Equipped with power-saving technologies that reduce energy consumption while maintaining performance levels.
4. Compliance: Meets stringent industry standards for reliability and security, ensuring compliance with international regulations.
Frequently Asked Questions
Q1: Can the XC6SLX75-N3FG484C be integrated into existing systems?
A1: Yes, the XC6SLX75-N3FG484C is backward compatible with most existing hardware interfaces, facilitating seamless integration.
Q2: What are the specific compatibility requirements for this device?
A2: The XC6SLX75-N3FG484C requires a minimum system voltage of 1.2V and operates optimally at room temperature. It also supports multiple communication protocols, including USB 3.0 and Gigabit Ethernet.
Q3: In which specific scenarios would you recommend using the XC6SLX75-N3FG484C?
A3: The XC6SLX75-N3FG484C is recommended for scenarios requiring high computational power, such as deep learning model training, large-scale data processing, and real-time analysis in financial markets.
Other people’s search terms
– High-performance computing solutions
– AI training accelerators
– Cloud computing hardware
– Scalable processing units
– Energy-efficient processors