Specification of XCZU5CG-L1SFVC784I | |
---|---|
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 | 500MHz, 1.2GHz |
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-L1SFVC784I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training platforms. It excels in handling large-scale data processing tasks efficiently. Additionally, it supports various industrial applications like smart manufacturing systems that require robust computational capabilities.
Operating Temperature: -40¡ãC to +85¡ãC
Key Advantages
1. High Performance: The XCZU5CG-L1SFVC784I offers exceptional processing power with up to 600 Gbps bandwidth support.
2. Scalable Architecture: Its modular design allows for easy expansion and integration into existing systems without significant modifications.
3. Energy Efficiency: Equipped with advanced power management features, it consumes significantly less energy compared to similar products.
4. Industry Certifications: Meets stringent industry standards including ISO 9001 and CE marking for reliability and safety.
Frequently Asked Questions
Q1: Can the XCZU5CG-L1SFVC784I be integrated into existing systems?
A1: Yes, its scalable architecture makes it compatible with most existing systems through simple software updates and hardware additions.
Q2: What are the power consumption details of the XCZU5CG-L1SFVC784I?
A2: Detailed power consumption data can be found in the product datasheet under the ‘Power Management’ section. It typically operates at around 150W under maximum load conditions.
Q3: In which specific scenarios would you recommend using the XCZU5CG-L1SFVC784I?
A3: This chip is recommended for scenarios requiring high-speed data processing, such as real-time analytics in financial markets, autonomous vehicle control systems, and advanced robotics applications.
Other people’s search terms
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– Advanced AI processing chips