| Specification of XCZU7EV-2FFVF1517I | |
|---|---|
| وضعیت | فعال |
| سری | Zynq? UltraScale+? MPSoC EV |
| بستهبندی | سینی |
| تامین کننده | 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 | 533MHz, 600MHz, 1.3GHz |
| Primary Attributes | ZynqUltraScale+ FPGA, 504K+ Logic Cells |
| دمای عملیاتی | -40C ~ 100C (TJ) |
| بستهبندی / محفظه | 1517-BBGA, FCBGA |
| بستهبندی دستگاه تامین کننده | 1517-FCBGA (40×40) |
کاربردها
The XCZU7EV-2FFVF1517I 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¡ãC to +85¡ãC, ensuring reliability across various environmental conditions.
مزایای کلیدی
1. High Processing Speed: The XCZU7EV-2FFVF1517I features a clock speed up to 600 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.
سؤالات متداول
Q1: Can the XCZU7EV-2FFVF1517I be used in extreme temperature environments?
A1: Yes, it can operate effectively between -40¡ãC and +85¡ãC, making it suitable for both indoor and outdoor applications requiring robust performance.
Q2: What are the compatibility requirements for the XCZU7EV-2FFVF1517I?
A2: The XCZU7EV-2FFVF1517I is compatible with a variety 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 XCZU7EV-2FFVF1517I?
A3: This device is recommended for scenarios involving large-scale data processing, machine learning model training, and real-time analytics where high performance and reliability are critical.
عبارات جستجوی افراد دیگر
– High-speed FPGA solutions
– AI acceleration with FPGAs
– Cloud computing FPGA modules
– Temperature-resistant FPGA devices
– Efficient FPGA architectures for data centers
