A new pre-exascale computer cluster has been designed to foster scientific progress and competitive innovation across European research systems, it is called LEONARDO. This paper describes the general architecture of the system and focuses on the technologies adopted for its GPU-accelerated partition. High density processing elements, fast data movement capabilities and mature software stack collections allow the machine to run intensive workloads in a flexible and scalable way. Scientific applications from traditional High Performance Computing (HPC) as well as emerging Artificial Intelligence (AI) domains can benefit from this large apparatus in terms of time and energy to solution.

翻译：为促进欧洲研究体系的科学进步与竞争性创新，设计了一套名为LEONARDO的新型前百亿亿次超级计算机集群。本文描述了该系统的总体架构，并重点介绍了其GPU加速分区所采用的技术。高密度处理单元、快速数据移动能力以及成熟的软件栈集合，使该机器能够以灵活可扩展的方式运行密集型工作负载。无论是传统高性能计算（HPC）还是新兴人工智能（AI）领域的科学应用，均可从这一大型装置中受益，从而缩短求解时间并降低能耗。