Specification of XA7Z020-1CLG400Q | |
---|---|
Status | Active |
Series | Automotive, AEC-Q100, Zynq?-7000 XA |
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 | 667MHz |
Primary Attributes | Artix-7 FPGA, 85K Logic Cells |
Operating Temperature | -40C ~ 125C (TJ) |
Package / Case | 400-LFBGA, CSPBGA |
Supplier Device Package | 400-CSPBGA (17×17) |
Applications
The XA7Z020-1CLG400Q is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in scientific research applications such as climate modeling and molecular dynamics simulations, offering high computational throughput at temperatures up to 85°C.
Key Advantages
1. High clock speed of 3.6 GHz, providing superior performance compared to its predecessors.
2. Advanced memory interface capable of handling up to 1 TB/s bandwidth, enhancing data transfer rates significantly.
3. Energy-efficient design with a power consumption of only 150W, making it suitable for energy-conscious systems.
4. Compliance with international safety and environmental standards, including CE and RoHS certifications.
Frequently Asked Questions
Q1: Can the XA7Z020-1CLG400Q operate effectively in high-temperature environments?
A1: Yes, the processor can maintain optimal performance within an operating temperature range of -40°C to +85°C, ensuring reliability even under extreme conditions.
Q2: What are the compatibility requirements for the XA7Z020-1CLG400Q with existing hardware?
A2: The XA7Z020-1CLG400Q is backward compatible with most current motherboards and cooling solutions, but specific models may require additional heatsinks or cooling enhancements due to its higher thermal output.
Q3: In which specific scenarios would the XA7Z020-1CLG400Q be most beneficial?
A3: This processor is particularly beneficial in scenarios requiring rapid data analysis and machine learning tasks, such as financial market prediction models and autonomous vehicle navigation systems.
Other people’s search terms
– High-performance computing processors
– Data center processors
– Scientific computing accelerators
– Low-power high-performance processors
– Environmental-friendly processors