XC7K480T-L2FFG1156I_AD1994ACPZ Introduction

The new Alveo U55C accelerator card is purpose-built for HPC and big data workloads and is the most powerful Alveo accelerator card Xilinx has ever built, with the highest compute density and HBM capacity in the Alveo accelerator portfolio.

Whether it's a server platform or network infrastructure, it can leverage existing open source standards and frameworks to scale performance and share workloads and memory across hundreds of Alveo cards. MPI integration capabilities allow HPC developers to extend Alveo data processing from the Xilinx Vitis unified software platform.

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XC7K480T-L2FFG1156I_AD1994ACPZ

As we all know, problems such as Go, autonomous driving, RNA translation and transformation, and protein folding can now be solved by machine learning. Machine learning is about finding patterns in big data. Machine learning is clearly better than humans when dealing with petabytes of data.

Both Xilinx and EDA companies have decades of data and are now leveraging AI to make the most of it. However, an important challenge in adopting machine learning in EDA companies is the lack of more specialized technical accumulation in a specific field. In the past few years, Xilinx has invested heavily in the field of machine learning, continuously acquiring AI technology and talents.

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