XC7K70T-3FBG484C_AD1984JCPZ-REEL Introduction

Software developers and data scientists can leverage the Vitis platform's advanced programming capabilities for applications and clusters to realize the benefits of Alveo and self-tuning computing. Xilinx has invested heavily in the Vitis development platform and tools to make self-tuning computing more accessible to software developers and data scientists without hardware expertise.

. Salil Raje, executive vice president and general manager of the Data Center Group at Xilinx, said extending Alveo's computing power to HPC workloads is easier, more efficient and more powerful than ever.

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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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