Specification of XCVU9P-L2FLGC2104E | |
---|---|
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 | 0.698V ~ 0.742V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 110C (TJ) |
Package / Case | 2104-BBGA, FCBGA |
Supplier Device Package | 2104-FCBGA (47.5×47.5) |
Applications
The XCVU9P-L2FLGC2104E is ideal for high-performance computing environments such as data centers, cloud computing services, and artificial intelligence training. It excels in handling large-scale data processing tasks efficiently. In industrial settings, it supports real-time control systems in manufacturing plants, ensuring precise operations under varying conditions.
Operating Temperature: -40¡ãC to +85¡ãC
Key Advantages
1. High Performance: The XCVU9P-L2FLGC2104E offers up to 768 Gbps of memory bandwidth, enabling faster data transfer rates compared to its predecessors.
2. Scalable Architecture: Its modular design allows for easy expansion and integration into complex system architectures without significant redesign efforts.
3. Energy Efficiency: With a power consumption of less than 100W at maximum load, it provides excellent energy efficiency, making it suitable for power-constrained environments.
4. Industry Certifications: The chip has been certified to meet stringent safety and reliability standards, including ISO 9001 and IEC 61000-6-2.
Frequently Asked Questions
Q1: What is the maximum clock frequency supported by the XCVU9P-L2FLGC2104E?
A1: The XCVU9P-L2FLGC2104E can operate at frequencies up to 1.5 GHz, providing high-speed processing capabilities.
Q2: Is the XCVU9P-L2FLGC2104E compatible with existing hardware?
A2: Yes, the XCVU9P-L2FLGC2104E is backward-compatible with most existing hardware interfaces, allowing for smooth integration into current systems.
Q3: Can the XCVU9P-L2FLGC2104E be used in edge computing devices?
A3: Absolutely, its compact size and low power consumption make it well-suited for deployment in edge computing devices that require high performance but limited space and power supply.
Other people’s search terms
– High-performance computing solutions
– AI acceleration chips
– Data center optimization technology
– Industrial automation controllers
– Low-power embedded systems