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  1. docs/integrations/veeam/README.md

    ### Create a backup job
    
    #### Backup Virtual Machines with Veeam Backup and Replication
    
    - Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.
    
    - On the Storage screen, choose the Scale-out Backup Repository that was configured previously.
    
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  2. docs/chroot/README.md

    Chroot allows user based namespace isolation on many standard Linux deployments.
    
    ## 1. Prerequisites
    
    - Familiarity with [chroot](http://man7.org/linux/man-pages/man2/chroot.2.html)
    - Chroot installed on your machine.
    
    ## 2. Install MinIO in Chroot
    
    ```sh
    mkdir -p /mnt/export/${USER}/bin
    wget https://dl.min.io/server/minio/release/linux-amd64/minio -O /mnt/export/${USER}/bin/minio
    chmod +x /mnt/export/${USER}/bin/minio
    ```
    
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  3. docs/docker/README.md

    See our web documentation on [Deploying MinIO in Standalone Mode](Deploy Standalone MinIO in a Container) for a more structured tutorial on deploying MinIO in a container.
    
    ## Prerequisites
    
    Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).
    
    ## Run Standalone MinIO on Docker
    
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  4. helm/minio/README.md

    MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
    
    | IMPORTANT |
    | -------------------------- |
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  5. cni/README.md

    The ambient CNI agent is the only place where ambient network config and pod redirection machinery happens.
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  6. README.md

    MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
    
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  7. ci/official/README.md

        -   Uses `pycpp.sh`, `code_check_changed_files.sh`
    
    These "env" files match up with an environment matrix that roughly covers:
    
    -   Different Python versions
    -   Linux, MacOS, and Windows machines (these pool definitions are internal)
    -   x86 and arm64
    -   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
    
    ## How to Test Your Changes to TensorFlow
    
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  8. README.md

    researchers push the state-of-the-art in ML and developers easily build and
    deploy ML-powered applications.
    
    TensorFlow was originally developed by researchers and engineers working within
    the Machine Intelligence team at Google Brain to conduct research in machine
    learning and neural networks. However, the framework is versatile enough to be
    used in other areas as well.
    
    TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
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  9. docs/multi-tenancy/README.md

    1. [Standalone Deployment](#standalone-deployment)
    2. [Distributed Deployment](#distributed-deployment)
    3. [Cloud Scale Deployment](#cloud-scale-deployment)
    
    ## 1. Standalone Deployment
    
    To host multiple tenants on a single machine, run one MinIO Server per tenant with a dedicated HTTPS port, configuration, and data directory.
    
    ### 1.1 Host Multiple Tenants on a Single Drive
    
    Use the following commands to host 3 tenants on a single drive:
    
    ```sh
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  10. docs/distributed/README.md

    MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.
    
    ## Why distributed MinIO?
    
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