> ## Documentation Index > Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt > Use this file to discover all available pages before exploring further. # W&B Models > Use W&B Models for experiment tracking, dataset versioning, model management, and collaborative ML development. 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. W&B Models architecture diagram 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.