Configure & use Amazon FSx for Lustre with Amazon EKS Pods | Amazon Web Services скачать в хорошем качестве

Configure & use Amazon FSx for Lustre with Amazon EKS Pods | Amazon Web Services

In this step-by-step demo, you will learn how to configure and use an Amazon FSx for Lustre file system as a persistent volume within an Amazon EKS cluster and its pods using the EKS CSI driver. This demo will also highlight the benefits of using FSx for Lustre's native Amazon S3 integration that allows you to setup the automatic import and export of data between the FSx file system and an S3 bucket, enabling the FSx for Lustre file-system to act as a high-performance cache for hot data stored in an S3 bucket. Using a high-performance data cache such as FSx for Lustre can accelerate the performance for use cases such as Machine Learning and training jobs, to Generative AI and Inference jobs, where thousands of EKS Pods could require access to the same training or model data. Learn more about FSx for Lustre: https://go.aws/3H2Xjfw Deploy a PoC FSx for Lustre environment in minutes: https://go.aws/3IzJlm3 AWS Storage best practices for AIML on Amazon EKS: https://go.aws/4kSjCTc Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster. #AWS #AmazonWebServices #CloudComputing