Training code
Model training organised on top of PyTorch.
We have no published PyTorch Lightning build. Lightning 2.6.6 fixed two security issues in load_from_checkpoint, and we show the nearest Python work and what to check.
Model training organised on top of PyTorch.
Only trusted checkpoints loaded, after the load_from_checkpoint fixes.
A FastAPI service in front of a trained model.
Moves onto 2.6.6 or later.
Illustration. A dashed outline marks where the technology would sit. We have no published build on it.
A patch release.
The next patch release.
Marked latest. Two security fixes for arbitrary code execution in load_from_checkpoint.
Source: PyTorch Lightning releases on GitHub, checked 9 November 2026. The list shows day and month without a year.

Python 3.13 and FastAPI with an AI engine that writes a graded brief through a Claude-compatible API.
A Python 3.13 back end on FastAPI with telematics ingest and PostGIS.
PyTorch
Python
MLflow
Docker
TensorFlow
KubernetesLightning 2.6.6, marked latest on GitHub and released on 10 September. Versions 2.6.5 and 2.6.4 came out on 27 May and 20 May.
No. We say so on the first call and show the nearest work, which is Python 3.13 back ends and an AI product that calls a model API.
The release notes list two security fixes for arbitrary code execution in load_from_checkpoint. Load only checkpoints you trust.
You do, from the first commit. Repositories and cloud accounts stay in your name.
Thirty minutes on your training code, your checkpoints and your Lightning version. No sales pitch.