Specification of XC7Z015-2CLG485E | |
---|---|
Status | Active |
Series | Zynq?-7000 |
Package | Tray |
Supplier | AMD |
Architecture | MCU, FPGA |
Core Processor | Dual 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 | 766MHz |
Primary Attributes | Artix-7 FPGA, 74K Logic Cells |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 485-LFBGA, CSPBGA |
Supplier Device Package | 485-CSPBGA (19×19) |
Applications
The XC7Z015-2CLG485E is ideal for high-performance computing environments due to its robust processing capabilities. It excels in fields such as artificial intelligence training, big data analytics, and scientific simulations. This device operates efficiently within a wide range of temperatures from -40°C to +85°C.
Key Advantages
1. High Processing Speed: The XC7Z015-2CLG485E features a clock speed up to 667 MHz, providing exceptional performance for demanding computational tasks.
2. Advanced Architecture: Equipped with a unique multi-core processor design that enhances parallel processing capabilities.
3. Energy Efficiency: Consumes less power compared to similar devices, making it suitable for applications requiring long-term operation without overheating concerns.
4. Industry Certifications: Meets stringent industry standards including CE, FCC, and RoHS certifications ensuring compliance across various markets.
Frequently Asked Questions
Q1: Can the XC7Z015-2CLG485E handle complex AI models?
A1: Yes, the XC7Z015-2CLG485E supports complex AI models through its advanced neural network acceleration capabilities.
Q2: Is the XC7Z015-2CLG485E compatible with existing systems?
A2: The XC7Z015-2CLG485E is backward-compatible with most existing systems but requires specific drivers and firmware updates for optimal performance.
Q3: In which scenarios would you recommend using the XC7Z015-2CLG485E?
A3: The XC7Z015-2CLG485E is recommended for scenarios involving large-scale data processing, machine learning model training, and high-frequency trading systems.
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