Specification of XCZU9CG-2FFVB1156I | |
---|---|
Status | Active |
Series | Zynq? UltraScale+? MPSoC CG |
Package | Tray |
Supplier | AMD |
Architecture | MCU, FPGA |
Core Processor | Dual ARM Cortex-A53 MPCore with CoreSight, Dual ARMCortex-R5 with CoreSight |
Flash Size | – |
RAM Size | 256KB |
Peripherals | DMA, WDT |
Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 533MHz, 1.3GHz |
Primary Attributes | ZynqUltraScale+ FPGA, 599K+ Logic Cells |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Applications
The XCZU9CG-2FFVB1156I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It supports applications requiring high-speed data processing and large-scale parallel computing tasks. Key technical parameters include operating temperatures ranging from -40¡ãC to +85¡ãC.
Key Advantages
1. High clock speed up to 700 MHz, providing superior computational performance.
2. Advanced multi-core architecture supporting efficient parallel processing.
3. Low power consumption per core, enhancing energy efficiency.
4. Compliance with industry-standard certifications ensuring reliability and security.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCZU9CG-2FFVB1156I?
A1: The XCZU9CG-2FFVB1156I operates within a temperature range of -40¡ãC to +85¡ãC, making it suitable for various environmental conditions.
Q2: Can the XCZU9CG-2FFVB1156I be used in conjunction with other components for enhanced functionality?
A2: Yes, the XCZU9CG-2FFVB1156I can be integrated with various peripheral devices and software modules to expand its capabilities in complex system architectures.
Q3: In which specific scenarios would the XCZU9CG-2FFVB1156I be most beneficial?
A3: The XCZU9CG-2FFVB1156I excels in scenarios requiring rapid data analysis, such as real-time analytics in financial markets, predictive modeling in healthcare, and deep learning in autonomous vehicles.
Other people’s search terms
– High-performance computing solutions
– Cloud server optimization
– Large-scale parallel computing
– Energy-efficient processor
– Industry-standard certified chip