> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-serverless-sft-revamp.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# W&B Models

W\&B Models is the system of record for ML Practitioners who want to organize their models, boost productivity and collaboration, and deliver production ML at scale.

<img src="https://mintcdn.com/wb-21fd5541-serverless-sft-revamp/TaOfeZ6YiMh7Ljor/images/general/architecture.png?fit=max&auto=format&n=TaOfeZ6YiMh7Ljor&q=85&s=1a576efcaa22dff279066b15cd8b48af" alt="W&B Models architecture diagram" style={{width: "450px"}} width="1452" height="759" data-path="images/general/architecture.png" />

With W\&B Models, you can:

* Track and visualize all [ML experiments](/models/track/).
* Optimize and fine-tune models at scale with [hyperparameter sweeps](/models/sweeps/).
* [Maintain a centralized hub of all models](/models/registry/), with a seamless handoff point to devops and deployment
* Configure custom automations that trigger key workflows for [model CI/CD](/models/automations/).

Machine learning practitioners rely on W\&B Models as their ML system of record to track and visualize experiments, manage model versions and lineage, and optimize hyperparameters.