标题： 阿尔卑斯，一个多功能的研究基础设施 显示英文标题

标题： Alps, a versatile research infrastructure

摘要： 瑞士国家超级计算中心（CSCS）长期以来一直致力于提供顶级的高性能计算系统，这体现在皮兹戴恩超计算机上。然而，科学需求的日益多样化暴露了传统垂直集成HPC架构的局限性，这些架构通常缺乏灵活性和可组合性。为了解决这些挑战，CSCS开发了Alps，这是一种下一代HPC基础设施，其设计原则具有变革性：资源在高速网络中作为独立端点运行。这种架构能够创建独立的租户特定和平台特定服务，以满足多样化的科学需求。Alps包括异构硬件，包括CPU和GPU，通过高性能Slingshot网络连接，并提供模块化存储系统。一个关键创新是多功能的软件定义集群（vCluster）技术，它连接了云计算和HPC范式。通过将基础设施、服务管理和用户环境抽象为不同的层次，vCluster允许定制化的平台，以支持多种工作负载。目前Alps上的平台服务于各种科学领域，包括数值天气预报和人工智能研究。 显示英文摘要

摘要： The Swiss National Supercomputing Centre (CSCS) has a long-standing tradition of delivering top-tier high-performance computing systems, exemplified by the Piz Daint supercomputer. However, the increasing diversity of scientific needs has exposed limitations in traditional vertically integrated HPC architectures, which often lack flexibility and composability. To address these challenges, CSCS developed Alps, a next-generation HPC infrastructure designed with a transformative principle: resources operate as independent endpoints within a high-speed network. This architecture enables the creation of independent tenant-specific and platform-specific services, tailored to diverse scientific requirements. Alps incorporates heterogeneous hardware, including CPUs and GPUs, interconnected by a high-performance Slingshot network, and offers a modular storage system. A key innovation is the versatile software-defined cluster (vCluster) technology, which bridges cloud and HPC paradigms. By abstracting infrastructure, service management, and user environments into distinct layers, vClusters allow for customized platforms that support diverse workloads. Current platforms on Alps serve various scientific domains, including numerical weather prediction, and AI research.