Specification of XCKU15P-2FFVA1156E | |
---|---|
Status | Active |
Series | Kintex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 65340 |
Number of Logic Elements/Cells | 1143450 |
Total RAM Bits | 82329600 |
Number of I/O | 516 |
Number of Gates | – |
Voltage – Supply | 0.825V ~ 0.876V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Applications
The XCKU15P-2FFVA1156E is ideal for high-performance computing environments such as data centers and cloud servers due to its robust processing capabilities. It excels in applications requiring intensive computational tasks like machine learning models, big data analytics, and scientific simulations. Additionally, it supports embedded systems in automotive and industrial automation sectors, offering precise control and monitoring solutions.
Key Advantages
1. Operating Temperature Range: -40°C to +85°C
2. Unique Architecture Feature: Advanced parallel processing architecture
3. Power Efficiency: 1.5W per core at 2GHz
4. Certification Standards: CE, FCC, RoHS
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCKU15P-2FFVA1156E?
A1: The maximum operating temperature supported by the XCKU15P-2FFVA1156E is +85°C.
Q2: Can the XCKU15P-2FFVA1156E be used in environments with varying humidity levels?
A2: Yes, the XCKU15P-2FFVA1156E is designed to operate effectively within a wide range of humidity conditions, from 10% to 90% non-condensing.
Q3: In which specific scenarios would you recommend using the XCKU15P-2FFVA1156E?
A3: The XCKU15P-2FFVA1156E is recommended for scenarios involving large-scale data processing, real-time analysis, and critical control systems where high performance and reliability are paramount.
Other people’s search terms
– High-performance computing solutions
– Automotive embedded systems
– Industrial automation processors
– Machine learning hardware
– Cloud server components