Specification of XCZU6CG-1FFVB1156I | |
---|---|
Status | Active |
Series | Zynq? UltraScale+? MPSoC CG |
Package | Bulk |
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, 469K+ Logic Cells |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Applications
The XCZU6CG-1FFVB1156I is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in applications such as artificial intelligence training, big data analytics, and cloud computing services. This device operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability across various environmental conditions.
Key Advantages
1. High Processing Speed: The XCZU6CG-1FFVB1156I features a clock speed up to 700 MHz, providing exceptional performance for complex computational tasks.
2. Advanced Architecture: Equipped with a unique multi-core architecture that enhances parallel processing and data handling efficiency.
3. Energy Efficiency: Designed with power-saving technologies that reduce energy consumption without compromising performance.
4. Industry Certifications: Meets stringent industry standards including CE, FCC, and RoHS certifications, ensuring compliance and safety.
Frequently Asked Questions
Q1: Can the XCZU6CG-1FFVB1156I be used in extreme temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for both indoor and outdoor applications requiring robust performance.
Q2: What are the specific compatibility requirements for the XCZU6CG-1FFVB1156I?
A2: The XCZU6CG-1FFVB1156I is compatible with a wide range of operating systems and software platforms, including Linux, Windows, and various AI frameworks like TensorFlow and PyTorch.
Q3: In which specific scenarios would you recommend using the XCZU6CG-1FFVB1156I?
A3: This device is recommended for scenarios involving large-scale data processing, machine learning model training, and real-time analytics where high performance and low latency are critical.
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