Specification of XCZU7EV-L2FFVC1156E | |
---|---|
Status | Active |
Series | Zynq? UltraScale+? MPSoC EV |
Package | Tray |
Architecture | MCU, FPGA |
Core Processor | Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 |
Flash Size | – |
RAM Size | 256KB |
Peripherals | DMA, WDT |
Connectivity | CANbus, EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 533MHz, 600MHz, 1.3GHz |
Primary Attributes | Zynq?UltraScale+? FPGA, 504K+ Logic Cells |
Operating Temperature | 0¡ãC ~ 100¡ãC (TJ) |
Package / Case | 1156-BBGA, FCBGA |
Supplier Device Package | 1156-FCBGA (35×35) |
Number of I/O | 360 |
Applications
The XCZU7EV-L2FFVC1156E is ideal for high-performance computing environments due to its advanced processing capabilities. It excels in areas such as artificial intelligence training, big data analytics, and cloud computing services. This FPGA offers a wide range of operating temperatures 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. Advanced multi-core architecture supporting up to 96 cores.
3. Energy-efficient design with power consumption as low as 15W under typical workloads.
4. Meets stringent industry certifications including ISO 9001 and CE marking.
Frequently Asked Questions
Q1: Can the XCZU7EV-L2FFVC1156E be used in high-temperature environments?
A1: Yes, the XCZU7EV-L2FFVC1156E operates effectively within a temperature range of -40¡ãC to +85¡ãC, ensuring reliability in diverse environments.
Q2: What is the maximum number of cores that can be supported by the XCZU7EV-L2FFVC1156E?
A2: The XCZU7EV-L2FFVC1156E supports up to 96 cores, providing significant scalability for complex computational tasks.
Q3: In which specific scenarios would the XCZU7EV-L2FFVC1156E be most beneficial?
A3: The XCZU7EV-L2FFVC1156E is particularly beneficial in scenarios requiring high-speed data processing, such as real-time analysis in financial markets, deep learning model training, and large-scale simulation projects.
Other people’s search terms
– High-performance FPGA solutions
– AI training FPGA
– Cloud computing FPGA
– Industrial-grade FPGA
– Scalable FPGA architecture