Specification of XCVU9P-2FSGD2104E | |
---|---|
Status | Active |
Series | Virtex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 147780 |
Number of Logic Elements/Cells | 2586150 |
Total RAM Bits | 391168000 |
Number of I/O | 676 |
Number of Gates | – |
Voltage – Supply | 0.825V ~ 0.876V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 2104-BBGA, FCBGA |
Supplier Device Package | 2104-FCBGA (47.5×47.5) |
Applications
The XCVU9P-2FSGD2104E is ideal for high-performance computing environments such as data centers and cloud computing platforms. It excels in applications requiring fast processing speeds and large-scale parallel computing tasks. Additionally, it is suitable for automotive electronics systems due to its robustness and reliability under various environmental conditions.
Key Advantages
1. Operating Temperature Range: -40°C to +85°C
2. Advanced Architecture Design
3. Energy Efficiency Rating: 0.6W/MHz
4. Compliance with ISO 9001:2015 Quality Management System Standards
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCVU9P-2FSGD2104E?
A1: The XCVU9P-2FSGD2104E operates within a range from -40°C to +85°C, ensuring reliable performance across diverse environments.
Q2: Can the XCVU9P-2FSGD2104E be used in automotive applications?
A2: Yes, the XCVU9P-2FSGD2104E is designed to meet automotive grade standards, making it suitable for integration into automotive electronic systems.
Q3: In which specific scenarios would the XCVU9P-2FSGD2104E be most beneficial?
A3: The XCVU9P-2FSGD2104E is particularly beneficial in scenarios requiring high-speed data processing, such as real-time analytics in financial markets, and in autonomous vehicle control systems where reliability and performance are paramount.
Other people’s search terms
– High-performance computing solutions
– Automotive-grade FPGA chips
– Data center FPGA processors
– Cloud computing FPGA modules
– Robust FPGA architectures