> ## Documentation Index
> Fetch the complete documentation index at: https://training-docs.cerebras.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Started with Cerebras

> Learn how to start training models on the Cerebras Wafer-Scale Cluster.

## <Icon icon="Bolt" size={28} />  What's New in 2.5?

* [**DINOv2 Now Available**](/rel-2.5.0/model-zoo/models/vision/dino-v2): Train and fine-tune DINOv2, a powerful self-supervised vision model for high-quality image representations without labeled data.

* **Major Performance Improvements**: Experience up to **77x speedup** in checkpointing and weight initialization.

* [**S3 Checkpointing**](/rel-2.5.0/model-zoo/migration/s3-checkpoints): Save and manage model checkpoints using any S3-compatible storage for seamless remote training and distributed workflows.

* [**Automatic Job Restart**](/rel-2.5.0/model-zoo/automatic-job-restart): Recover from intermittent failures automatically with checkpoint-based job restarts, ensuring uninterrupted training.

And many more updates! Read more in our [release notes](../release-notes/release-notes-tabs).

<CardGroup cols={2}>
  <Card title="Getting Started" icon="terminal" href="../getting-started/setup-and-installation">
    Setup and install your training environment.
  </Card>

  <Card title="Core Concepts" icon="server" href="../concepts/cerebras-wafer-scale-cluster">
    Learn more about our Wafer-Scale Cluster.
  </Card>

  <Card title="Model Zoo" icon="clone" href="../model-zoo/model-zoo-overview">
    Explore our comprehensive repo of deep learning models optimized for the Cerebras hardware.
  </Card>

  <Card title="Cs Torch API" icon="code" href="https://training-api.cerebras.ai/en/latest/wsc/api/cerebras_pytorch/index.html">
    Functions and data structures you can use to configure and execute PyTorch models on a Cerebras cluster.
  </Card>
</CardGroup>