Specification of XCZU3CG-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, 154K+ Logic Cells |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 784-BFBGA, FCBGA |
Supplier Device Package | 784-FCBGA (23×23) |
Applications
The XCZU3CG-L1SFVC784I is ideal for high-performance computing environments such as cloud servers, data centers, and AI training platforms. It supports applications requiring high-speed data processing and large-scale parallel computing tasks. Key technical parameters include operating temperatures ranging from -40°C to +85°C.
Key Advantages
1. High clock speed up to 600 MHz, providing superior computational performance.
2. Advanced multi-core architecture enabling efficient handling of complex algorithms.
3. Low power consumption per core, reducing operational costs significantly.
4. Compliance with multiple industry-standard certifications ensuring reliability and security.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the XCZU3CG-L1SFVC784I?
A1: The XCZU3CG-L1SFVC784I operates within a temperature range of -40°C to +85°C, making it suitable for various environmental conditions.
Q2: Can the XCZU3CG-L1SFVC784I be used in conjunction with other components to enhance its capabilities?
A2: Yes, the XCZU3CG-L1SFVC784I can be integrated with various peripherals and other processors to expand its functionality and improve overall system performance.
Q3: In which specific scenarios would the XCZU3CG-L1SFVC784I be most beneficial?
A3: The XCZU3CG-L1SFVC784I excels in scenarios involving big data analysis, machine learning models, and high-frequency trading systems due to its high processing power and low latency.
Other people’s search terms
– High-performance computing solutions
– Cloud server optimization
– Large-scale parallel computing
– AI training platform components
– Energy-efficient processor options