Specification of XCZU5CG-2SFVC784I | |
---|---|
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, 256K+ Logic Cells |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 784-BFBGA, FCBGA |
Supplier Device Package | 784-FCBGA (23×23) |
Applications
The XCZU5CG-2SFVC784I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training systems. It excels in applications requiring high-speed data processing and complex algorithm execution. Key features include its ability to handle large datasets efficiently and support advanced machine learning models.
Operating Temperature: -40°C to +85°C
Key Advantages
1. High Performance: The XCZU5CG-2SFVC784I offers up to 6.9 TFLOPS at 1GHz, making it suitable for demanding computational tasks.
2. Scalable Architecture: Its modular design allows for easy expansion and integration into various system architectures.
3. Low Power Consumption: With power efficiency ratings of less than 1W per core, it reduces operational costs significantly.
4. Industry Certifications: Meets stringent industry standards including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the XCZU5CG-2SFVC784I be used in environments with extreme temperatures?
A1: Yes, it operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability in diverse environments.
Q2: What is the maximum clock speed supported by the XCZU5CG-2SFVC784I?
A2: The XCZU5CG-2SFVC784I supports a maximum clock speed of 1GHz, which can be adjusted based on specific application requirements.
Q3: In which specific scenarios would you recommend using the XCZU5CG-2SFVC784I?
A3: This chip is recommended for scenarios involving big data analytics, deep learning model training, and high-frequency trading systems due to its high performance and low power consumption.
Other people’s search terms
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– Data center scalability options