Specification of XCZU7EG-1FFVC1156E | |
---|---|
Status | Active |
Series | Zynq? UltraScale+? MPSoC EG |
Package | Tray |
Supplier | AMD |
Architecture | MCU, FPGA |
Core Processor | Quad ARM Cortex-A53 MPCore with CoreSight, Dual ARMCortex-R5 with CoreSight, ARM Mali-400 MP2 |
Flash Size | – |
RAM Size | 256KB |
Peripherals | DMA, WDT |
Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 500MHz, 600MHz, 1.2GHz |
Primary Attributes | ZynqUltraScale+ FPGA, 504K+ Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Applications
The XCZU7EG-1FFVC1156E 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 FPGA offers a wide operating temperature range from -40¡ãC to +85¡ãC, making it suitable for various industrial settings.
Key Advantages
1. High-speed processing at up to 1.2 GHz per core
2. Scalable architecture supporting up to 1156 logic elements
3. Energy-efficient design with power consumption as low as 15W at full load
4. Meets industry-standard certifications like ISO 9001 and CE marking
Frequently Asked Questions
Q1: What is the maximum operating temperature of the XCZU7EG-1FFVC1156E?
A1: The maximum operating temperature of the XCZU7EG-1FFVC1156E is +85¡ãC.
Q2: Can the XCZU7EG-1FFVC1156E be used in conjunction with other FPGAs for mixed-signal designs?
A2: Yes, the XCZU7EG-1FFVC1156E supports mixed-signal designs and can be integrated with other FPGAs through dedicated interfaces.
Q3: In which specific scenarios would you recommend using the XCZU7EG-1FFVC1156E for AI applications?
A3: The XCZU7EG-1FFVC1156E is recommended for AI applications requiring high computational power and energy efficiency, such as deep learning model training and inference in edge computing devices.
Other people’s search terms
– High-performance FPGA solutions
– Scalable FPGA architectures
– Energy-efficient FPGAs for AI
– Mixed-signal FPGA integration
– Industrial-grade FPGA technology