github.com/NVIDIA/aistore@v1.3.23-0.20240517131212-7df6609be51d/docs/videos.md (about)

     1  ---
     2  layout: post
     3  title: VIDEOS
     4  permalink: /docs/videos
     5  redirect_from:
     6   - /videos.md/
     7   - /docs/videos.md/
     8  ---
     9  
    10  ## Table of contents
    11  
    12  - [CLI](#cli)
    13    - [Top-level Commands](#top-level-commands)
    14    - [Getting Started](#getting-started)
    15  - [Deployment: Google Cloud](#deployment-google-cloud)
    16  - [Minimal All-In-One Standalone Docker](#minimal-all-in-one-standalone-docker)
    17  - [Extract, Transform, Load](#extract-transform-load)
    18  - [S3 and TensorFlow: TF Training](#s3-and-tensorflow-tf-training)
    19  - [Developer Playground](#developer-playground)
    20  
    21  ## CLI
    22  
    23  ### Top-level Commands
    24  
    25  ![cli-overview](images/cli-overview.gif)
    26  
    27  ### Getting Started
    28  
    29  {% include youtubePlayer.html id="VPIhQm2sMD8" %}
    30  
    31  ## Deployment: Google Cloud
    32  
    33  ![ais-k8s-deploy](images/ais-k8s-deploy.gif)
    34  
    35  ## Minimal All-In-One Standalone Docker
    36  
    37  * [README](/deploy/prod/docker/single/README.md)
    38  * [Quick Start: Ephemeral Storage](https://youtu.be/ndeCy2gy7vU)
    39  * [Quick Start: Persistent Storage](https://youtu.be/1AN-RYpW3bs)
    40  
    41  ## Extract, Transform, Load
    42  
    43  This section comprises a number of videos illustrating different aspects of the AIS-ETL extension. A good place to start, though, would be the following [comprehensive introduction and a Jupyter notebook walk-through](https://www.youtube.com/watch?v=4PHkqTSE0ls):
    44  
    45  {% include youtubePlayer.html id="4PHkqTSE0ls" %}
    46  
    47  ## S3 and TensorFlow: TF Training
    48  
    49  ![ais-s3-tf](images/ais-s3-tf.gif)
    50  
    51  ## Developer Playground
    52  
    53  {% include youtubePlayer.html id="ANshjHphqfI" %}