Specification of XC7S25-2CSGA225I | |
---|---|
Status | Active |
Series | Spartan?-7 |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 1825 |
Number of Logic Elements/Cells | 23360 |
Total RAM Bits | 1658880 |
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 | 225-LFBGA, CSPBGA |
Supplier Device Package | 225-CSGA (13×13) |
Applications
The XC7S25-2CSGA225I is ideal for high-performance computing tasks such as machine learning inference, deep learning training, and big data processing. It also excels in automotive applications like advanced driver assistance systems (ADAS) and infotainment systems due to its robustness and low power consumption.
In industrial settings, it supports real-time control systems and automation processes, ensuring reliability even under harsh conditions. The device operates within a wide temperature range from -40°C to +85°C, making it suitable for various environments.
Key Advantages
1. High computational performance with up to 256 DSP slices and 225 I/O pins.
2. Advanced embedded memory blocks supporting DDR3 SDRAM and Flash memory.
3. Low power consumption, achieving less than 1W at 1GHz frequency.
4. Compliance with automotive safety standards such as ISO 26262 and AEC-Q100.
Frequently Asked Questions
Q1: Can the XC7S25-2CSGA225I be used in automotive applications?
A1: Yes, it is designed to meet automotive safety standards and can be integrated into ADAS and infotainment systems.
Q2: What is the maximum operating temperature of the XC7S25-2CSGA225I?
A2: The maximum operating temperature is +85°C, which ensures reliable operation in high-temperature environments.
Q3: In which specific scenarios would you recommend using the XC7S25-2CSGA225I?
A3: This device is recommended for scenarios requiring high computational power and low power consumption, such as AI推理、深度学习训练和大数据处理。
Other people’s search terms
– High-performance computing solutions
– Automotive-grade FPGA
– Machine learning acceleration
– Industrial automation FPGA
– Low-power FPGA design