Specification of XCVU9P-1FLGA2104E | |
---|---|
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 | 832 |
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-1FLGA2104E is ideal for high-performance computing environments such as data centers, cloud computing services, and artificial intelligence training. It excels in applications requiring high-speed data processing and large-scale parallel computations. Key technical parameters include operating temperatures ranging from -40¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 760 MHz, enabling faster processing capabilities compared to its predecessors.
2. Advanced memory interface supporting DDR5, enhancing bandwidth and performance.
3. Energy-efficient design with power consumption optimized for extended operation without overheating.
4. Compliance with industry-standard certifications like ISO 9001 and CE marking, ensuring quality and safety.
Frequently Asked Questions
Q1: What is the maximum operating temperature range supported by the XCVU9P-1FLGA2104E?
A1: The XCVU9P-1FLGA2104E operates within a temperature range of -40¡ãC to +85¡ãC, making it suitable for diverse deployment environments.
Q2: Can the XCVU9P-1FLGA2104E be used in conjunction with other components to enhance system performance?
A2: Yes, the XCVU9P-1FLGA2104E can be integrated with various accelerators and peripherals through its robust I/O interfaces, allowing for enhanced system performance and scalability.
Q3: In which specific scenarios would the XCVU9P-1FLGA2104E be most beneficial?
A3: The XCVU9P-1FLGA2104E is particularly beneficial in scenarios involving real-time data analysis, machine learning model training, and high-frequency trading systems due to its high processing speeds and efficient power management features.
Other people’s search terms
– High-performance computing solutions
– AI acceleration with XCVU9P-1FLGA2104E
– Data center optimization using XCVU9P-1FLGA2104E
– DDR5 memory support in FPGA
– Energy-efficient FPGA solutions