XCVU29P-2FIGD2104E

XCVU29P-2FIGD2104E

Manufacturer No:

XCVU29P-2FIGD2104E

Manufacturer:

AMD

Description:

IC FPGA 676 I/O 2104FCBGA

Datasheet:

Datasheet

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XCVU29P-2FIGD2104E Specifications

  • Type
    Parameter
  • Packaging
    Tray
The XCVU29P-2FIGD2104E is a specific model of integrated circuit (IC) chip developed by Xilinx. It belongs to the Virtex UltraScale+ family of FPGAs (Field-Programmable Gate Arrays). Here are some advantages and application scenarios of this particular chip:Advantages: 1. High Performance: The XCVU29P-2FIGD2104E chip offers high-performance computing capabilities, making it suitable for demanding applications that require significant processing power. 2. Large Capacity: It has a large logic capacity, allowing for the implementation of complex designs and algorithms. 3. Programmability: Being an FPGA, the chip is highly programmable, enabling users to customize and reconfigure the hardware to suit their specific requirements. 4. Versatility: The XCVU29P-2FIGD2104E chip supports a wide range of applications due to its flexibility and adaptability. 5. Power Efficiency: It is designed to be power-efficient, ensuring optimal performance while minimizing energy consumption.Application Scenarios: 1. Data Centers: The high-performance computing capabilities of the XCVU29P-2FIGD2104E chip make it suitable for data center applications, such as data processing, machine learning, and artificial intelligence. 2. Communications: The chip can be used in communication systems, including wireless infrastructure, networking equipment, and high-speed data transmission. 3. Aerospace and Defense: The XCVU29P-2FIGD2104E chip's large logic capacity and programmability make it ideal for aerospace and defense applications, such as radar systems, avionics, and secure communications. 4. Scientific Research: It can be utilized in scientific research projects that require significant computational power, such as simulations, modeling, and data analysis. 5. High-Performance Computing: The chip can be employed in various high-performance computing scenarios, including financial modeling, computational biology, and weather forecasting.It's important to note that the specific advantages and application scenarios may vary depending on the requirements and needs of the user or organization.