The claim that Korean is "low-resource" is only half true: the data is not missing, just scattered, closed off, and poorly known. Drawing on the Open Korean Corpora report, this article sorts 100 open Korean corpora into 10 categories and marks each by three criteria—documentation, usage, and redistribution. The result is a single map that lets anyone see, at a glance, what Korean data exists and how it can actually be used.

We provide a step-by-step tutorial on how to install the open-source version of Backend.AI on NVIDIA DGX Spark and easily launch a model.

Writing Storybook stories for 50+ Backend.AI WebUI components: setting up i18n, theming, and branding, then automating with a 1,000-line guideline, Claude-based generation, and GitHub Actions CI.

A few things worth knowing for faster, smoother communication with Lablup's developers when you contribute to Backend.AI.

What MLOps means and the tools behind it: a methodology for automating machine learning from development through deployment and operations.

A tour of what's new in Python 3.10, from structural pattern matching to improved type hints, plus a look at the performance work coming in later versions.

Backend.AI and Pure Storage FlashBlade make GPU and data management in AI infrastructure effortless. A look at what the two deliver together.

A guide to contributing to the Backend.AI open-source project: development setup, component architecture, and how to submit pull requests.