Specification of XCZU9EG-1FFVB1156I | |
---|---|
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, 599K+ Logic Cells |
Operating Temperature | -40C ~ 100C (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Applications
The XCZU9EG-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 FPGA offers a wide operating temperature range from -40°C to +85°C, making it suitable for various industrial settings.
Key Advantages
1. High-speed processing capability up to 760 MHz
2. Advanced multi-core architecture supporting parallel processing
3. Low power consumption of less than 15W at maximum load
4. Meets industry-standard certifications including CE, FCC, and RoHS
Frequently Asked Questions
Q1: What is the maximum operating temperature of the XCZU9EG-1FFVB1156I?
A1: The maximum operating temperature of the XCZU9EG-1FFVB1156I is +85°C.
Q2: Can the XCZU9EG-1FFVB1156I be used in conjunction with other FPGAs?
A2: Yes, the XCZU9EG-1FFVB1156I can be integrated with other FPGAs through standard interfaces like AXI and PCIe, facilitating complex system architectures.
Q3: In which specific scenarios would you recommend using the XCZU9EG-1FFVB1156I?
A3: The XCZU9EG-1FFVB1156I is recommended for scenarios requiring high computational performance and energy efficiency, such as real-time signal processing in telecommunications networks and high-frequency trading systems.
Other people’s search terms
– High-performance FPGA solutions
– AI-accelerated computing platforms
– Energy-efficient FPGA designs
– Industrial-grade FPGA modules
– Scalable FPGA architectures for data centers