Specification of XCKU3P-2FFVA676E | |
---|---|
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 | 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 XCKU3P-2FFVA676E 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 computational throughput up to 1.5 TFLOPS at 1.2V, enabling faster processing speeds compared to its predecessors.
2. Advanced power management system that reduces energy consumption by up to 30% without compromising performance.
3. The XCKU3P-2FFVA676E features a unique multi-core architecture that enhances scalability and reliability.
4. Meets stringent certification standards including CE, FCC, and RoHS, ensuring compliance across various markets.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCKU3P-2FFVA676E?
A1: The XCKU3P-2FFVA676E operates within a wide range of temperatures, from -40°C to +85°C, providing flexibility in deployment environments.
Q2: Can the XCKU3P-2FFVA676E be used in outdoor applications?
A2: Yes, due to its robust design and operating temperature range, the XCKU3P-2FFVA676E can be effectively utilized in outdoor settings.
Q3: In which specific scenarios would the XCKU3P-2FFVA676E be most beneficial?
A3: The XCKU3P-2FFVA676E is particularly beneficial in scenarios involving large-scale data processing, such as real-time analysis in financial markets, predictive modeling in healthcare, and complex simulation tasks in engineering fields.
Other people’s search terms
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