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A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

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<h1 align="center">
  <img src="https://raw.githubusercontent.com/k3ai/k3ai.github.io/main/static/img/logo-banner.jpg"/><br/>
  Welcome to K3ai Project
</h1>
<p align="center"><b>K3ai</b> is a lightweight tool to get an AI Infrastructure Stack up in minutes not days.</p>

---
**NOTE on the K3ai origins**

Original K3ai Project has been developed at the end of October 2020 in 2 weeks by:

- **Alessandro Festa** [https://github.com/alefesta](https://github.com/alefesta)
- **Gabriele Santomaggio** [https://github.com/GSantomaggio](https://github.com/GSantomaggio)

K3ai v1.0 has been entirely re-written by **Alessandro Festa** during the month of October 2021 to
offer a better User Experience.
---

Thanks to the amazing and incredible people and projects that have been instrumental to create K3ai project repositories,website,etc...

- [Docusaurs](https://docusaurus.io/) - How simple and amazing is to use for your own website (https://k3ai.in)
- [https://undraw.co/](https://undraw.co/) - The amazing work created by Katerina Limpitsouni (https://twitter.com/ninaLimpi) is a real piece of art
- [https://getemoji.com/](https://getemoji.com/) - We all need some emoji in our life isn't it?
- [https://clig.dev/](https://clig.dev/) -- K3ai is completly inspired by the Command Line Guidelines manifesto.

## ⚡️ Quick start

Let's discover **K3ai in three simple steps**.

## 🌘 Getting Started

Get started by **download k3ai** from the release page [here](https://github.com/k3ai/k3ai/releases).

Or **try K3ai companion script** using this command:

```bash
curl -LO https://get.k3ai.in | sh -
```

## 🌗 Load K3ai configuration

Let's start loading the configuration:

```shell
k3ai up
```

---

First time k3ai run will ask for a **Github PAT (Personal Access Token)** that we will use to avoid API calls limitations.  Check [`Github Documentation`](#) to learn how to create one. Your personal GH PAT only need `read repository permission`.

---

## 🌖 Configure the base infrastructure

Choose your favourite `Kubernetes` flavor and run it:

To know which K8s flavors are available

```shell
k3ai cluster list --all
```

it should print something like:

```markdown
┌─────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ INFRASTRUCTURE                                                                                          │
├───────┬─────────────────────────────────────────────────────┬───────┬────────┬─────────┬────────────────┤
│ TYPE  │ DESCRIPTION                                         │ KIND  │ TAG    │ VERSION │ STATUS         │
├───────┼─────────────────────────────────────────────────────┼───────┼────────┼─────────┼────────────────┤
│ CIVO  │ The First Cloud Native Service Provider Power...    │ infra │ cloud  │ latest  │ Available      │
├───────┼─────────────────────────────────────────────────────┼───────┼────────┼─────────┼────────────────┤
│ EKS-A │ Amazon Eks Anywhere Is A New Deployment Option...   │ infra │ hybrid │ v0.5.0  │ Available      │
│       │ ate And Operate Kubernetes Clusters On Custome...   │       │        │         │                │
├───────┼─────────────────────────────────────────────────────┼───────┼────────┼─────────┼────────────────┤
│ K3S   │ K3s Is A Highly Available, Certified Kubernetes...  │ infra │ local  │ latest  │ Available      │
│       │ oads In Unattended, Resource-Constrained...         │       │        │         │                │
├───────┼─────────────────────────────────────────────────────┼───────┼────────┼─────────┼────────────────┤
│ KIND  │ Kind Is A Tool For Running Local Kubernetes...      │ infra │ local  │ v0.11.2 │ Available      │
│       │ as Primarily Designed For Testing Kubernetes...     │       │        │         │                │
│       │  Or Ci.                                             │       │        │         │                │
├───────┼─────────────────────────────────────────────────────┼───────┼────────┼─────────┼────────────────┤
│ TANZU │ Tanzu Community Edition Is A Fully-Featured...      │ infra │ hybrid │ latest  │ In Development │
│       │ ers And Users. It Is A Freely Available...          │       │        │         │                │
│       │  Of Vmware Tanzu.                                   │       │        │         │                │
└───────┴─────────────────────────────────────────────────────┴───────┴────────┴─────────┴────────────────┘
```

Now let start with something super fast and super simple:

<!-- ```bash
k3ai [COMMAND] [ACTION] [CHOICE] [SUB-CHOICE]
```
where:

- **K3AI [COMMAND]** : I want to do something with a `cluster` or a `plugin`
- **[ACTION]** : I want to deploy a `cluster` or a `plugin`
- **[CHOICE]** I want a specific type of a `cluster`. This could be shortened into `-t`
- **[SUB- CHOICE]** I want to identify later the `cluster` with this name. This could be shortened into `-n`
So in our case will be: -->

```bash
k3ai cluster deploy --type k3s --n mycluster
```

## 🌝 Install a plugin to do your AI experimentations

Now that the server is up and running let's type:

```bash
k3ai plugin deploy -n mlflow -t mycluster
```

K3ai will print the url where you may access to the MLFLow tracking server at the end of the installation.
That's all now just start having fun with K3ai!

## 🌈 Push a piece of code to the AI tools and focus on your goals

Let's push some code to the AI tool (i.e.: MLFlow)

```bash

k3ai run --source https://github.com/k3ai/quickstart --target mycluster --backend mlflow

```

wait the run to complete and login the backend AI tolls (i.e.: on the MLFlow UI `http://<YOUR IP>:30500`)

## Current Implementation support

### Operating Systems

| Operating System | K3ai v1.0.0 |
|:---|:---:|
|    Linux     |    Yes          |
|    Windows   |    In Progress  |
|    MacOs     |    In Progress  |
|    Arm       |    In Progress  |

### Clusters

| K8s Clusters | K3ai v1.0.0 |
|:---|:---:|
| Rancher K3s|Yes|
|Vmware Tanzu Community Ed.|Yes|
|Amazon EKS Anywhere|Yes|
|KinD|Yes|

### Plugins

| Plugins | K3ai v1.0.0 |
|:---|:---:|
|Kuebflow Components| Yes|
| MLFlow| Yes|
|Apache Airflow |Yes|
|Argo Workflows| Yes|

## ⭐️ Project assistance

If you want to say **thank you** or/and support active development of `K3ai Project`:

- Add a [GitHub Star](https://github.com/k3ai/k3ai) to the project.
- Tweet about project [on your Twitter](https://twitter.com/intent/tweet?text=%E2%9C%A8%20An%20AI%20stack%20including%20%23kubernetes%20and%20popular%20tools%20like%20%23kubeflow%20%23mlflow%20%23airflow.%20%20Deploy%20your%20AI%20projects%20in%20seconds%20in%20one%20command.%20Focus%20on%20writing%20code%20and%20thinking%20of%20business%20logic.K3ai%20will%20take%20care%20of%20the%20rest.%0A%0Ahttps%3A%2F%2Fgithub.com%2Fk3ai%2Fk3ai).
- Write interesting articles about K3ai project on [Dev.to](https://dev.to/), [Medium](https://medium.com/) or personal blog.

Together, we can make this project **better** every day! 😘

## ⚠️ License

`K3ai` is free and open-source software licensed under the [BSD 3-Clause](https://github.com/k3ai/k3ai/blob/master/LICENSE). Official [logo](https://raw.githubusercontent.com/k3ai/k3ai.github.io/main/static/img/logo.jpg) was created by [Alessandro Festa](https://github.com/alefesta/).

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