XC7K420T-L2FF901I_AD1937WBSTZ-RL Introduction

Now, Xilinx and the entire academic community have completed a large amount of AI academic research in the field of EDA, covering the application of AI technology in the fields of synthesis, floor planning, layout routing, and static timing analysis.

Despite the gradual slowdown of Moore's Law, the exponential growth in FPGA transistor counts over the past 20+ years has not diminished. EDA has long faced various challenges: the number of devices is increasing and the design is getting more complex.

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However, you can't have both. Performance brings huge advantages, while design simplicity, compile time, and quality of results (QoR) often require compromises. .

Architecturally, FPGA accelerators like Alveo cards provide the highest performance at the lowest cost for many compute-intensive workloads. We enable customers to build Alveo HPC clusters on existing infrastructure and networks by introducing a standards-based approach.

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