Specification of XCVU5P-L2FLVB2104E | |
---|---|
Status | Active |
Series | Virtex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 75072 |
Number of Logic Elements/Cells | 1313763 |
Total RAM Bits | 190976000 |
Number of I/O | 702 |
Number of Gates | – |
Voltage – Supply | 0.698V ~ 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 XCVU5P-L2FLVB2104E 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 advanced automation systems that require rapid decision-making processes. Additionally, its robust design makes it suitable for automotive applications where reliability under extreme conditions is crucial.
Key Advantages
1. Operating Temperature Range: -40¡ãC to +85¡ãC
2. Unique Architecture Feature: Advanced parallel processing capabilities
3. Power Efficiency: 1.5W per gigaflop
4. Certification Standards: CE, FCC, RoHS
Frequently Asked Questions
Q1: Can the XCVU5P-L2FLVB2104E be used in environments with temperatures below -40¡ãC?
A1: The XCVU5P-L2FLVB2104E operates within a range of -40¡ãC to +85¡ãC. For environments colder than -40¡ãC, alternative components may be required.
Q2: Is the XCVU5P-L2FLVB2104E compatible with existing hardware?
A2: Yes, the XCVU5P-L2FLVB2104E is backward-compatible with most existing hardware interfaces. However, specific drivers and firmware updates might be necessary for optimal performance.
Q3: How does the XCVU5P-L2FLVB2104E perform in scenarios requiring high computational load?
A3: The XCVU5P-L2FLVB2104E is designed to handle high computational loads effectively, making it suitable for applications like machine learning models and complex simulations.
Other people’s search terms
– High-performance computing solutions
– Automotive electronics components
– Industrial automation processors
– Cloud computing accelerators
– AI training hardware