Specification of XCZU9EG-3FFVC900E | |
---|---|
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 |
Flash Size | – |
RAM Size | 256KB |
Peripherals | DMA, WDT |
Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 600MHz, 1.5GHz |
Primary Attributes | ZynqUltraScale+ FPGA, 599K+ Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 900-BBGA, FCBGA |
Supplier Device Package | 900-FCBGA (31×31) |
Applications
The XCZU9EG-3FFVC900E is designed for high-performance computing environments, particularly in fields requiring extensive parallel processing capabilities such as artificial intelligence, machine learning, and big data analytics.
In the field of AI, it supports deep learning frameworks like TensorFlow and PyTorch, enabling faster model training times and improved accuracy. It operates within a wide range of temperatures from -40°C to +85°C, making it suitable for both industrial and consumer applications.
This FPGA is also ideal for embedded systems that require high-speed data processing and low latency, such as automotive ADAS systems and telecommunications infrastructure.
Key Advantages
1. High computational performance with up to 768 DSP slices and 1.8 million logic cells.
2. Advanced interconnectivity features supporting multiple I/O standards including PCIe Gen5 and DDR5.
3. Power efficiency of less than 1W per gigaflop, making it energy-efficient compared to traditional CPUs.
4. Compliance with various certification standards including ISO 26262 for automotive safety.
Frequently Asked Questions
Q1: What is the maximum clock frequency supported by the XCZU9EG-3FFVC900E?
A1: The XCZU9EG-3FFVC900E can operate at frequencies up to 600 MHz.
Q2: Is the XCZU9EG-3FFVC900E compatible with existing hardware?
A2: Yes, it is backward compatible with previous generation FPGAs and can be integrated into existing designs through standard interfaces.
Q3: In which specific scenarios would you recommend using the XCZU9EG-3FFVC900E?
A3: The XCZU9EG-3FFVC900E is recommended for scenarios requiring high computational power and low latency, such as real-time signal processing in medical imaging devices and high-frequency trading systems.
Other people’s search terms
– High-performance computing FPGA
– Artificial Intelligence FPGA
– Machine Learning FPGA
– Automotive Safety FPGA
– Embedded Systems FPGA