Specification of XC6SLX25-3CSG324I | |
---|---|
Status | Active |
Series | Spartan?-6 LX |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1879 |
Number of Logic Elements/Cells | 24051 |
Total RAM Bits | 958464 |
Number of I/O | 226 |
Number of Gates | – |
Voltage – Supply | 1.14V ~ 1.26V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 324-LFBGA, CSPBGA |
Supplier Device Package | 324-CSPBGA (15×15) |
Applications
The XC6SLX25-3CSG324I 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°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. High clock speed up to 750 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 RAM for enhanced data throughput.
3. Energy-efficient design with low power consumption per gigaflop, reducing operational costs.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: Can the XC6SLX25-3CSG324I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, ensuring reliability in diverse climates.
Q2: What kind of memory does the XC6SLX25-3CSG324I support?
A2: The device supports DDR4 memory, which significantly boosts its data handling capacity.
Q3: In which specific scenarios would you recommend using the XC6SLX25-3CSG324I?
A3: The XC6SLX25-3CSG324I is recommended for scenarios requiring high-speed data processing and machine learning tasks, such as AI model training and real-time data analysis.
Other people’s search terms
– High-performance computing solutions
– Artificial intelligence hardware accelerators
– Cloud computing infrastructure components
– DDR4 memory support devices
– Industrial-grade computing modules