Specification of XCKU3P-2FFVB676E | |
---|---|
Status | Active |
Series | Kintex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 20340 |
Number of Logic Elements/Cells | 355950 |
Total RAM Bits | 31641600 |
Number of I/O | 280 |
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 XCKU3P-2FFVB676E is ideal for high-performance computing environments such as data centers and cloud servers. It excels in applications requiring rapid processing capabilities, such as artificial intelligence training, big data analytics, and scientific simulations.
In the automotive industry, it powers advanced driver assistance systems that require real-time processing of sensor data. Its robust design ensures reliability under extreme conditions, making it suitable for use in autonomous vehicles.
For industrial automation, it supports complex control systems that demand precise timing and high-speed data transfer. This makes it a key component in manufacturing plants where machinery needs to be controlled efficiently.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High clock speed up to 3 GHz
2. Advanced memory interface supporting DDR5 RAM
3. Energy-efficient design with low power consumption
4. Compliance with multiple industry certifications including ISO 9001 and CE Marking
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the XCKU3P-2FFVB676E?
A1: The XCKU3P-2FFVB676E supports a maximum clock speed of 3 GHz.
Q2: Can the XCKU3P-2FFVB676E be used in environments with temperatures below freezing?
A2: Yes, the XCKU3P-2FFVB676E operates within a wide temperature range from -40°C to +85°C, ensuring reliable performance even in cold climates.
Q3: In which specific scenarios would the XCKU3P-2FFVB676E be most beneficial?
A3: The XCKU3P-2FFVB676E is particularly beneficial in scenarios requiring high computational power and energy efficiency, such as AI training sessions, real-time data analysis in IoT networks, and high-frequency trading systems.
Other people’s search terms
– High-performance computing solutions
– Automotive electronics components
– Industrial automation processors
– Energy-efficient computing modules
– Certified computing hardware