> For the complete documentation index, see [llms.txt](https://kf5ai.gitbook.io/k3ai-v1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kf5ai.gitbook.io/k3ai-v1/undefined.md).

# K3ai (keɪ3ai)

K3ai is a lightweight infrastructure-in-a-box specifically built to install and configure AI tools and platforms to quickly experiment and/or run in production over edge devices.

![](/files/-MO5wiAr0D6VuOqYOBIa)

## Ready to experiment?

```
curl -sfL https://get-core.k3ai.in | bash -
```

Looking for more interaction? join our Slack channel [**here**](https://join.slack.com/t/k3ai/shared_invite/zt-j61vfvkx-tCD~k9l2218lu7ZplRLGNA)\*\*\*\*

## Components of K3ai

Currently, we install the following components (the list is changing and growing):

* Kubernetes based on K3s from Rancher: <https://k3s.io/>
* Kubeflow pipelines: <https://github.com/kubeflow/pipelines>
* Argo Workflows: <https://github.com/argoproj/argo>
* Kubeflow: <https://www.kubeflow.org/> - **(coming soon)**
* NVIDIA GPU support: <https://docs.nvidia.com/datacenter/cloud-native/index.html>
* NVIDIA Triton inference server: <https://github.com/triton-inference-server/server/tree/master/deploy/single_server> **(coming soon)**
* Tensorflow Serving: <https://www.tensorflow.org/tfx/serving/serving_kubernetes>:
  * ResNet
  * Mnist **(coming soon)**