Specification of XCKU035-1FBVA676C | |
---|---|
Status | Active |
Series | Kintex? UltraScale? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 25391 |
Number of Logic Elements/Cells | 444343 |
Total RAM Bits | 19456000 |
Number of I/O | 312 |
Number of Gates | – |
Voltage – Supply | 0.922V ~ 0.979V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 676-BBGA, FCBGA |
Supplier Device Package | 676-FCBGA (27×27) |
Applications
The XCKU035-1FBVA676C is ideal for high-performance computing environments, particularly in fields such as artificial intelligence, machine learning, and big data analytics. It excels in handling complex simulations and large-scale data processing tasks efficiently.
In the automotive industry, it supports advanced driver assistance systems (ADAS) and autonomous driving technologies, enhancing vehicle safety and performance through rapid processing capabilities.
For medical imaging applications, its power efficiency and robust design make it suitable for continuous operation in demanding hospital settings without compromising on performance.
Operating Temperature: -20°C to +85°C
Key Advantages
1. High clock speed up to 3 GHz, enabling faster processing times.
2. Advanced cooling technology that maintains optimal temperatures even under heavy loads.
3. Energy-efficient design with low power consumption, reducing operational costs.
4. Compliance with multiple certification standards including CE, FCC, and RoHS.
Frequently Asked Questions
Q1: Can the XCKU035-1FBVA676C handle real-time data processing?
A1: Yes, it is designed to process data at speeds exceeding 1 terabyte per second, making it capable of real-time data analysis.
Q2: Is there any specific hardware requirement for this component?
A2: The XCKU035-1FBVA676C requires a compatible motherboard with sufficient PCIe slots and adequate cooling solutions to ensure optimal performance.
Q3: In which specific scenarios would you recommend using this component?
A3: This component is recommended for scenarios requiring high computational power, such as cloud computing services, scientific research involving complex algorithms, and high-frequency trading platforms.
Other people’s search terms
– High-speed data processing solution
– AI and machine learning accelerator
– Efficient computing for big data
– Automotive ADAS technology
– Medical imaging system enhancement