Show HN: LUML – an open source (Apache 2.0) MLOps/LLMOps platform
okost1 Tuesday, February 03, 2026
Hi HN,
We built LUML (https://github.com/luml-ai/luml), an open-source (Apache 2.0) MLOps/LLMOps platform that covers experiments, registry, LLM tracing, deployments and so on.
It separates the control plane from your data and compute. Artifacts are self-contained. Each model artifact includes all metadata (including the experiment snapshots, dependencies, etc.), and it stays in your storage (S3-compatible or Azure).
File transfers go directly between your machine and storage, and execution happens on compute nodes you host and connect to LUML.
We’d love you to try the platform and share your feedback!
Summary
LUML is an open-source machine learning framework that provides a high-level, modular, and extensible platform for building and deploying machine learning models. It offers a wide range of tools and features to simplify the process of developing and scaling AI applications.
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Summary
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