Specification of XCKU035-2SFVA784E | |
---|---|
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 | 468 |
Number of Gates | – |
Voltage – Supply | 0.922V ~ 0.979V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 784-BFBGA, FCCSP |
Supplier Device Package | 784-FCCSPBGA (23×23) |
Applications
The XCKU035-2SFVA784E is ideal for high-performance computing environments, particularly in fields such as artificial intelligence, machine learning, and big data analytics. It excels in applications requiring extensive parallel processing capabilities, such as deep learning models that demand significant computational power. Additionally, it supports advanced cryptographic operations, making it suitable for secure communication systems.
Key Advantages
1. High clock speed up to 3.6 GHz, providing superior performance for demanding tasks.
2. Advanced memory interface capable of handling large datasets efficiently.
3. Low power consumption per gigaflop, enhancing energy efficiency.
4. Compliance with multiple industry-standard certifications ensuring reliability and security.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCKU035-2SFVA784E?
A1: The XCKU035-2SFVA784E operates within a temperature range of -40°C to +85°C, ensuring robust performance across various environmental conditions.
Q2: Can the XCKU035-2SFVA784E be used in conjunction with other components from different manufacturers?
A2: Yes, the XCKU035-2SFVA784E is designed to work seamlessly with a wide range of third-party components, supporting diverse system architectures.
Q3: In which specific scenarios would the XCKU035-2SFVA784E be most beneficial?
A3: The XCKU035-2SFVA784E is particularly beneficial in cloud computing environments where scalability and performance are critical. It also excels in research labs focused on developing AI algorithms and in financial institutions needing high-speed transaction processing.
Other people’s search terms
– High-performance computing solutions
– AI accelerator chip specifications
– Energy-efficient processor for data centers
– Secure communication hardware features
– Scalable computing platform components