Specification of XCVU13P-L2FLGA2577E | |
---|---|
Status | Active |
Series | Virtex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 216000 |
Number of Logic Elements/Cells | 3780000 |
Total RAM Bits | 514867200 |
Number of I/O | 448 |
Number of Gates | – |
Voltage – Supply | 0.698V ~ 0.876V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 110C (TJ) |
Package / Case | 2577-BBGA, FCBGA |
Supplier Device Package | 2577-FCBGA (52.5×52.5) |
Applications
The XCVU13P-L2FLGA2577E is ideal for high-performance computing environments such as data centers, where it can handle large-scale parallel processing tasks efficiently. It also excels in automotive applications, particularly in advanced driver assistance systems (ADAS), where its robustness under extreme conditions is crucial. Additionally, it finds application in telecommunications infrastructure, supporting complex network protocols and ensuring reliable communication services.
Key Advantages
1. Operating Temperature Range: -40¡ãC to +85¡ãC
2. Unique Architecture Feature: Integration of AI accelerators for enhanced machine learning capabilities
3. Power Efficiency Data: Achieves up to 90% power reduction compared to previous generation devices
4. Certification Standards: Meets stringent industrial standards including IEC 61000-4-2 and ISO 26262
Frequently Asked Questions
Q1: Can the XCVU13P-L2FLGA2577E be used in environments with temperatures below -40¡ãC?
A1: No, the device operates within a range of -40¡ãC to +85¡ãC; operation outside this range may lead to performance degradation or hardware failure.
Q2: Is the XCVU13P-L2FLGA2577E compatible with existing systems using older technology standards?
A2: The XCVU13P-L2FLGA2577E is backward-compatible with most existing systems but requires specific firmware updates to ensure seamless integration.
Q3: In which specific scenarios would the XCVU13P-L2FLGA2577E be most beneficial?
A3: This device is particularly beneficial in scenarios requiring high computational throughput, such as real-time data analysis in financial markets, and in safety-critical applications like autonomous vehicles where reliability and performance are paramount.
Other people’s search terms
– High-performance computing solutions
– Automotive electronics components
– Telecommunications network optimization
– Industrial-grade embedded systems
– Advanced machine learning processors