kf5i / k3ai

K3ai is a lightweight, fully automated, AI infrastructure-in-a-box solution that allows anyone to experiment quickly with Kubeflow pipelines. K3ai is perfect for anything from Edge to laptops.

WE RELEASED THE NEW VERSION CHECK THE NEW ORG AT: https://github.com/k3ai AND OUR NEW WEBSITE/DOCS AT: https://k3ai.in

K3ai (keɪ3ai)

NOTE: The installer is not used anymore. Please use k3ai-core repo and the new k3ai command-line as in https://docs.k3ai.in

If you need to open an Issue please use the k3ai-core repo

This repo is left for reference.

K3ai is a lightweight infrastructure-in-a-box solution specifically built to install and configure AI tools and platforms in production evironments on Edge and IoT devices as easily as local test environments.

Ready to experiment?

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

Full Documentaton: https://docs.k3ai.in

Look for interaction with us? Join our slack channel: https://kf5ikfai.slack.com

Components of K3ai

K3ai curently provides: (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)

Hall of fames of K3ai Contributors