Specification of XCVU9P-2FLGC2104E | |
---|---|
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 | 416 |
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-2FLGC2104E is ideal for high-performance computing environments such as cloud servers, AI training, and big data analytics. It supports applications requiring high computational power and low latency, such as deep learning frameworks like TensorFlow and PyTorch. This device also excels in networking equipment, providing robust packet processing capabilities at high speeds.
Key Advantages
1. Operating Temperature Range: -40¡ãC to +85¡ãC
2. Unique Architecture Feature: Advanced multi-core processing
3. Power Efficiency: 1.5W per gigaflop
4. Certification Standards: CE, FCC, RoHS
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the XCVU9P-2FLGC2104E?
A1: The XCVU9P-2FLGC2104E supports a maximum clock speed of up to 600 MHz.
Q2: Is the XCVU9P-2FLGC2104E compatible with existing hardware?
A2: Yes, it is backward compatible with previous generations of FPGAs and can be integrated into existing systems without major modifications.
Q3: In which specific scenarios would you recommend using the XCVU9P-2FLGC2104E?
A3: The XCVU9P-2FLGC2104E is recommended for scenarios that require high-speed data processing and low-latency operations, such as real-time video streaming and financial trading systems.
Other people’s search terms
– High-performance FPGA solutions
– AI accelerator for cloud servers
– Low-power FPGAs for networking
– Multi-core processing in FPGAs
– Robust packet processing for network devices