Specification of XC7A15T-1CSG325I | |
---|---|
Status | Active |
Series | Artix-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1300 |
Number of Logic Elements/Cells | 16640 |
Total RAM Bits | 921600 |
Number of I/O | 150 |
Number of Gates | – |
Voltage – Supply | 0.95V ~ 1.05V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 324-LFBGA, CSPBGA |
Supplier Device Package | 324-CSPBGA (15×15) |
Applications
The XC7A15T-1CSG325I 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, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 600 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 at speeds up to 2666 MT/s, enhancing data throughput.
3. Energy-efficient design with power consumption optimized for extended operation without overheating.
4. Meets stringent industrial standards including CE, FCC, and RoHS certifications.
Frequently Asked Questions
Q1: Can the XC7A15T-1CSG325I be used in high-temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for both indoor and outdoor applications.
Q2: What is the maximum supported memory bandwidth?
A2: The XC7A15T-1CSG325I supports DDR4 memory with a maximum bandwidth of 2666 MT/s, significantly improving data transfer rates.
Q3: In which specific scenarios would you recommend using this XC7A15T-1CSG325I?
A3: This device is recommended for scenarios requiring high-speed data processing and analysis, such as real-time video streaming, machine learning model training, and large-scale database queries.
Other people’s search terms
– High-performance computing solutions
– Artificial intelligence hardware accelerators
– Cloud computing infrastructure components
– Industrial-grade FPGA devices
– Memory-intensive computing tasks