Specification of XCVU440-2FLGA2892E | |
---|---|
Status | Active |
Series | Virtex? UltraScale? |
Package | Bulk |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 316620 |
Number of Logic Elements/Cells | 5540850 |
Total RAM Bits | 90726400 |
Number of I/O | 1456 |
Number of Gates | – |
Voltage – Supply | 0.922V ~ 0.979V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 2892-BBGA, FCBGA |
Supplier Device Package | 2892-FCBGA (55×55) |
Applications
The XCVU440-2FLGA2892E is ideal for high-performance computing environments such as cloud servers, AI training platforms, and big data analytics systems. It supports applications requiring high computational power and energy efficiency, like deep learning frameworks and machine vision algorithms. This device operates within a wide temperature range from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. High Performance: The XCVU440-2FLGA2892E offers up to 760 Gbps of bandwidth, supporting ultra-high-speed data transfer rates.
2. Scalable Architecture: Its modular design allows for easy expansion and integration into complex system architectures.
3. Energy Efficiency: With a typical power consumption of less than 100W at full load, it provides excellent energy efficiency compared to similar devices.
4. Industry Certifications: The chip has been certified to meet stringent safety and reliability standards, ensuring its suitability for critical applications.
Frequently Asked Questions
Q1: What is the maximum operating temperature of the XCVU440-2FLGA2892E?
A1: The maximum operating temperature of the XCVU440-2FLGA2892E is +85°C.
Q2: Can the XCVU440-2FLGA2892E be used in conjunction with other components?
A2: Yes, the XCVU440-2FLGA2892E can be integrated with various other components through its scalable architecture, providing flexibility in system design.
Q3: In which specific scenarios would you recommend using the XCVU440-2FLGA2892E?
A3: The XCVU440-2FLGA2892E is recommended for scenarios involving large-scale data processing, such as cloud-based AI model training and real-time data analysis in financial markets.
Other people’s search terms
– High-performance computing solutions
– Ultra-fast data transfer technology
– Scalable FPGA architecture
– Energy-efficient computing devices
– Industry-standard certified chips