Specification of XCKU15P-1FFVA1156E | |
---|---|
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-1FFVA1156E is ideal for high-performance computing environments such as data centers and cloud services. It excels in applications requiring rapid processing speeds, such as machine learning models, big data analytics, and scientific simulations. This device operates within a wide range of temperatures from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. High clock speed up to 3 GHz, providing superior computational performance.
2. Advanced memory interface supporting DDR5 RAM for faster data transfer rates.
3. Energy-efficient design with a power consumption of less than 150W at maximum load.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: What is the maximum operating temperature of the XCKU15P-1FFVA1156E?
A1: The maximum operating temperature of the XCKU15P-1FFVA1156E is +85°C.
Q2: Can the XCKU15P-1FFVA1156E be used in environments with high humidity?
A2: Yes, the XCKU15P-1FFVA1156E is designed to operate effectively in environments with relative humidity levels up to 95% non-condensing.
Q3: In which specific scenarios would you recommend using the XCKU15P-1FFVA1156E?
A3: The XCKU15P-1FFVA1156E is recommended for scenarios involving large-scale data processing tasks, such as real-time analysis in financial markets, predictive modeling in healthcare, and complex simulation tasks in engineering fields.
Other people’s search terms
– High-speed computing solutions
– DDR5 RAM support devices
– Energy-efficient processor
– Industrial-grade computing module
– Machine learning hardware accelerators