XC4VSX35-11FF68C
XC4VSX35-11FF68C
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AMD Xilinx

XC4VSX35-11FF68C


XC4VSX35-11FF68C
F20-XC4VSX35-11FF68C
Active
BGA

XC4VSX35-11FF68C ECAD Model


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XC4VSX35-11FF68C Attributes


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XC4VSX35-11FF68C Overview



Xilinx's XC4VSX35-11FF68C is a FPGA chip of Virtex-4 family, which is designed for high-performance logic, signal processing, and embedded systems. It is a high-performance, low-cost, and low-power FPGA solution for a variety of applications.


The XC4VSX35-11FF68C was designed with the intention to provide customers with an FPGA solution that is both cost-effective and reliable. This chip model is equipped with over 11 million system gates, 6.5Mb of embedded block RAM, and up to 576 I/O pins. It also features advanced features such as independent clock domains, support for multiple clock frequencies, and built-in clock management. The chip model is capable of performing high-speed logic operations and can be used in a variety of applications, including data processing, communication, and control systems.


The XC4VSX35-11FF68C is capable of being upgraded to support new technologies, such as advanced communication systems. It has built-in support for Ethernet and USB protocols, as well as high-speed transceivers and SerDes. This chip model can also be used in high-speed serial communication systems, allowing for fast data transfer between different devices.


The XC4VSX35-11FF68C is also suitable for the development and popularization of future intelligent robots. It has a wide range of features, including built-in support for motion control, vision processing, and machine learning. It is also capable of performing parallel processing, making it suitable for robots that need to process large amounts of data quickly. To use this chip model effectively, technical talents such as embedded systems engineers, software developers, and robotics experts are required.


In conclusion, the XC4VSX35-11FF68C is a powerful FPGA chip that is capable of being upgraded to support advanced communication systems. It is also suitable for the development and popularization of future intelligent robots. To use this chip model effectively, technical talents such as embedded systems engineers, software developers, and robotics experts are required.



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