包阅导读总结
1.
关键词：Cluster Toolkit、HPC、AI/ML、Google Cloud、高性能计算
2.
总结：Cloud HPC Toolkit 现更名为 Cluster Toolkit，能简化在 Google Cloud 上创建和管理高性能计算环境，涵盖 HPC 和 AI/ML 应用，具有易部署管理、快速启动选项、集成最佳实践、持续更新及开源等优点，还介绍了新功能及对老用户的指南，并提供了上手方法。
3.
主要内容：
– 关于 Cluster Toolkit
– 曾是 Cloud HPC Toolkit，现更名为 Cluster Toolkit
– 能简化高性能计算环境创建和管理，涵盖 AI/ML 应用
– 关键优势
– 易部署和管理集群，支持多种调度器
– 提供 HPC 和 AI/ML 工作负载的快速启动选项
– 集成 Google Cloud 最佳实践
– 定期更新和新功能
– 开源可访问
– 新功能
– A3 Mega Blueprint 便于部署 A3 Mega VMs 集群
– HPC VM Image 预安装工具和库
– Slurm-gcp v6 发布
– 对现有用户指南
– GitHub 仓库改名，部分命令变更，建议更新
– 如何开始
– 选择蓝图通过 GitHub 仓库设置集群，提供多种资源帮助上手
思维导图：
文章地址：https://cloud.google.com/blog/topics/hpc/build-aiml-hpc-clusters-with-cluster-toolkit/
文章来源：cloud.google.com
作者：Annie Ma-Weaver,Shivani Matta
发布时间：2024/8/2 0:00
语言：英文
总字数：511字
预计阅读时间：3分钟
评分：85分
标签：集群工具包,HPC,AI/ML,Google Cloud,部署
以下为原文内容
本内容来源于用户推荐转载，旨在分享知识与观点，如有侵权请联系删除 联系邮箱 media@ilingban.com
The Cloud HPC Toolkit, now rebranded as Cluster Toolkit, simplifies the creation and management of high performance computing environments on Google Cloud. Initially focused on scientific and technical computing workloads, it has expanded to encompass AI/ML applications, reflecting its widespread adoption across various domains.
The Cluster Toolkit empowers users to focus on their workloads by streamlining cluster setup and deployment, leveraging Google Cloud’s best practices, and offering flexibility for diverse computing tasks. Key benefits include:
-
Easy deployment and management of clusters: The Toolkit simplifies the process of setting up and maintaining clusters, allowing users to focus on their workloads rather than infrastructure management. The Toolkit supports multiple schedulers including Slurm, GKE, and Batch.
-
Quickstart options for HPC and AI/ML workloads: The Toolkit has a library of pre-built blueprints and modules that let users begin running their workloads quickly, accelerating time-to-value.
-
Integration of Google Cloud best practices: The aforementioned blueprints and modules incorporate Google Cloud’s recommended configurations, ensuring that clusters are set up for optimal performance and efficiency.
-
Regular updates and new features: The Toolkit is actively maintained and updated with new features and improvements, providing users with ongoing support and enhancements.
-
Open-source accessibility: The Toolkit is open-source, allowing users to customize and extend its capabilities to meet their specific needs.
What’s new in Cluster Toolkit
In addition to a new name, Cluster Toolkit has several new features for HPC and AI/ML workloads:
-
A3 Mega Blueprint: This blueprint makes it easy to deploy a cluster of A3 Mega VMs ready for training large language models (LLMs) and other AI/ML workloads. Earlier in the year, we also launched the A3 Blueprint.
-
HPC VM Image: This VM Image is pre-installed with popular HPC tools and libraries, ensuring you can begin running your HPC workloads quickly with assured performance.
-
Slurm-gcp v6: The latest version of the Slurm-gcp solution, which provides a seamless experience for running Slurm workloads on Google Cloud, is now GA.
Guidelines for existing Toolkit customers
We’ve renamed our GitHub repo to “Cluster Toolkit” and some commands (e.g., ghpc is now gcluster). Existing Git operations and commands will still work, but we strongly recommend updating local clones and command names to avoid confusion.
How to get started
To get started with the Cluster Toolkit, select one of our easy-to-use HPC and AI/ML blueprints, available through our GitHub repo, and use it to set up a cluster. We also offer a variety of resources to help you get started, including documentation, quickstarts, and videos.
