Specification of XCKU5P-1FFVA676E | |
---|---|
Status | Active |
Series | Kintex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 27120 |
Number of Logic Elements/Cells | 474600 |
Total RAM Bits | 41984000 |
Number of I/O | 256 |
Number of Gates | – |
Voltage – Supply | 0.825V ~ 0.876V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 676-BBGA, FCBGA |
Supplier Device Package | 676-FCBGA (27×27) |
Applications
The XCKU5P-1FFVA676E is ideal for high-performance computing environments such as data centers and cloud services. It excels in applications requiring extensive parallel processing like machine learning models, big data analytics, and scientific simulations. Its robust design supports operating temperatures ranging from -40°C to +85°C, making it suitable for both indoor and outdoor deployments.
Key Advantages
1. High clock speed up to 3 GHz, providing superior computational performance.
2. Advanced memory interface capable of handling large datasets efficiently.
3. Energy-efficient design with power consumption optimized for extended operation.
4. Meets stringent industry certifications including CE, FCC, and RoHS compliance.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCKU5P-1FFVA676E?
A1: The XCKU5P-1FFVA676E operates within a temperature range of -40°C to +85°C, ensuring reliability across various environmental conditions.
Q2: Can the XCKU5P-1FFVA676E be used in outdoor applications?
A2: Yes, its wide operating temperature range makes it suitable for outdoor installations where extreme temperatures may occur.
Q3: In which specific scenarios would the XCKU5P-1FFVA676E be most beneficial?
A3: The XCKU5P-1FFVA676E is particularly beneficial in scenarios involving complex data analysis, such as financial market predictions, weather forecasting, and genetic research.
Other people’s search terms
– High-performance computing solutions
– Data center components
– Machine learning hardware
– Cloud service accelerators
– Scientific simulation processors