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Photo by Markus Spiske on Unsplash

In the previous post, we learnt how to build a PyTorch image and running the image to train the model on your laptop using podman.

Once a model has been trained, we will now begin to package this model and deploy the model onto Kuberentes.

The repository used in this post is available here.

What is koo-burr-NET-eez?

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Kubernetes (Greek for “helmsman” or “pilot” or “governor”) is an open-source system for automating deployment, scaling, and management of containerized applications. …


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Photo by chuttersnap on Unsplash

In the previous post, we talked about the benefits of container images and why they provide a consistent runtime environment for your AI workload. In part 2 of this series, we will explore tools such as buildah and podman to build OCI compatible images.

The source code used in this post is available on my Git Hub repository.

Dockerless?

Docker Inc. contribution of docker resulted in the explosion of containers usage. …


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In this series of blog posts, I will introduce how containers can be used in data scientist workflow, how to build and push them into a container registry, and how to use a container for training and deploy them onto Kubernetes

The first part of the series is focused on why containers for data science.

What are Containers

Containers are lightweight software packages that only contain the application and runtime. These containers share the operating system kernel, therefore it doesn’t need its own Operating System, unlike virtual machines.

As such, a container size is smaller, which allows them to be shipped and deployed much faster than virtual machines. …

Liming Tsai

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