Specification of XC7Z012S-1CLG485C | |
---|---|
Status | Active |
Series | Zynq?-7000 |
Package | Tray |
Supplier | AMD |
Architecture | MCU, FPGA |
Core Processor | Single ARM Cortex-A9 MPCore with CoreSight |
Flash Size | – |
RAM Size | 256KB |
Peripherals | DMA |
Connectivity | CANbus, EBI/EMI, Ethernet, IC, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Speed | 667MHz |
Primary Attributes | Artix-7 FPGA, 55K Logic Cells |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 485-LFBGA, CSPBGA |
Supplier Device Package | 485-CSPBGA (19×19) |
Applications
The XC7Z012S-1CLG485C 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°C to +85°C, ensuring reliability across various environmental conditions.
Key Advantages
1. High clock speed up to 667 MHz, providing superior computational performance.
2. Advanced memory interface supporting DDR4 at speeds up to 2133 MT/s, enhancing data throughput.
3. Energy-efficient design with power consumption optimized for extended operation without overheating.
4. Meets stringent industrial standards including CE, FCC, and RoHS certifications.
Frequently Asked Questions
Q1: Can the XC7Z012S-1CLG485C be used in high-temperature environments?
A1: Yes, it can operate effectively between -40°C and +85°C, making it suitable for both indoor and outdoor applications.
Q2: What are the compatibility requirements for this device?
A2: The XC7Z012S-1CLG485C is compatible with a variety of operating systems and software platforms, including Linux, Windows, and macOS, and supports multiple hardware interfaces like PCIe and USB.
Q3: In which specific scenarios would you recommend using this XC7Z012S-1CLG485C?
A3: This device is recommended for scenarios requiring high-speed data processing, such as real-time video analysis, machine learning model training, and large-scale database operations.
Other people’s search terms
– High-performance computing solutions
– AI training accelerators
– Cloud computing hardware
– DDR4 memory support
– Industrial-grade FPGA devices