Specification of XCKU9P-1FFVE900I | |
---|---|
Status | Active |
Series | Kintex? UltraScale+? |
Package | Bulk |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 34260 |
Number of Logic Elements/Cells | 599550 |
Total RAM Bits | 41881600 |
Number of I/O | 304 |
Number of Gates | – |
Voltage – Supply | 0.825V ~ 0.876V |
Mounting Type | Surface Mount |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 900-BBGA, FCBGA |
Supplier Device Package | 900-FCBGA (31×31) |
Applications
The XCKU9P-1FFVE900I is versatile and can be integrated into various systems requiring high-performance computing capabilities. Here are some specific applications:
- High-Performance Computing (HPC): Ideal for tasks that require extensive computational power such as simulations, data analysis, and machine learning algorithms.
- Artificial Intelligence (AI) and Machine Learning (ML): Suitable for training complex AI models and running ML algorithms efficiently.
- Scientific Research: Used in fields like physics, chemistry, and biology for complex calculations and simulations.
- Financial Modeling: Essential for performing complex financial computations and risk assessments.
- Video Encoding/Decoding: Capable of handling high-resolution video processing tasks.
Operating Temperature: -20°C to +70°C
Key Advantages
- High Clock Speed: Operates at up to 3 GHz, providing superior performance compared to similar products.
- Advanced Architecture: Features a unique multi-core design that enhances parallel processing capabilities.
- Energetic Efficiency: Consumes significantly less power than comparable devices, making it ideal for energy-conscious applications.
- Certified Standards: Meets stringent industry certifications ensuring reliability and compliance with international standards.
Frequently Asked Questions
Q1: What is the maximum clock speed supported by the XCKU9P-1FFVE900I?
A1: The XCKU9P-1FFVE900I supports a maximum clock speed of 3 GHz.
Q2: Is the XCKU9P-1FFVE900I compatible with existing hardware?
A2: Yes, the XCKU9P-1FFVE900I is backward-compatible with most existing hardware configurations, but it may require additional drivers or software updates depending on the system requirements.
Q3: In which specific scenarios would you recommend using the XCKU9P-1FFVE900I?
A3: The XCKU9P-1FFVE900I is recommended for scenarios involving heavy computational loads, such as large-scale simulations, deep learning model training, and high-frequency trading systems.
Other people’s search terms
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– Industry-standard certified processors
– Scalable computing architectures