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- [Docs] Minor edits (home page, quickstart, etc)
- Updated titles and descriptions in setup.py, README, home page, etc.
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README.md

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</h1>
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<h3 align="center">
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Cost-effective ML workloads in any cloud
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Cost-effective LLM development
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</h3>
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<p align="center">
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<a href="https://dstack.ai/docs" target="_blank"><b>Docs</b></a> •
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<a href="https://dstack.ai/docs" target="_blank"><b>Docs</b></a> •
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<a href="https://dstack.ai/examples/dolly" target="_blank"><b>Examples</b></a> •
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<a href="https://dstack.ai/blog" target="_blank"><b>Blog</b></a> •
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<a href="https://join.slack.com/t/dstackai/shared_invite/zt-xdnsytie-D4qU9BvJP8vkbkHXdi6clQ" target="_blank"><b>Slack</b></a>
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[![PyPI - License](https://img.shields.io/pypi/l/dstack?style=flat-square&color=blue)](https://github.com/dstackai/dstack/blob/master/LICENSE.md)
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</div>
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`dstack` is an open-source tool designed to enhance the efficiency of running ML workloads in the cloud.
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`dstack` is an open-source tool that simplifies LLM development across multiple clouds.
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It streamlines development and deployment, reduces cloud costs, and frees users from vendor lock-in.
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## Latest news
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dstack start
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```
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On startup, the server sets up a default project that runs everything locally.
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On startup, the server sets up a default project that runs everything locally.
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To run dev environments and tasks in the cloud, log into the UI, create the corresponding project,
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and [configure](https://dstack.ai/docs/guides/projects) the CLI to use it.
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## CLI
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To run a configuration, use the [`dstack run`](https://dstack.ai/docs/reference/cli/run.md) command and pass the path to the
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To run a configuration, use the [`dstack run`](https://dstack.ai/docs/reference/cli/run.md) command and pass the path to the
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directory with the configuration.
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```shell
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## Profiles
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The `.dstack/profiles.yml` file allows to describe multiple profiles.
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The `.dstack/profiles.yml` file allows to describe multiple profiles.
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ach profile can configure the project to use and the resources required for the run.
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```yaml
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For additional information and examples, see the following links:
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* [Docs](https://dstack.ai/docs)
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* [Examples](https://github.com/dstackai/dstack-examples/blob/main/README.md)
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* [Blog](https://dstack.ai/blog)
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* [Slack](https://join.slack.com/t/dstackai/shared_invite/zt-xdnsytie-D4qU9BvJP8vkbkHXdi6clQ)
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## Licence
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- [Docs](https://dstack.ai/docs)
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- [Examples](https://github.com/dstackai/dstack-examples/blob/main/README.md)
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- [Blog](https://dstack.ai/blog)
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- [Slack](https://join.slack.com/t/dstackai/shared_invite/zt-xdnsytie-D4qU9BvJP8vkbkHXdi6clQ)
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## Licence
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[Mozilla Public License 2.0](LICENSE.md)
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[Mozilla Public License 2.0](LICENSE.md)

docs/docs/index.md

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</div>
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On startup, the server sets up a default project that runs everything locally.
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!!! info "Projects"
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To run dev environments and tasks in your cloud, log into the UI, create the corresponding project,
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On startup, the server sets up a default project that runs everything locally.
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To run workloads in your cloud, log into the UI, create the corresponding project,
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and [configure](guides/projects) the CLI to use it.
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## Initialization

docs/index.md

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template: home.html
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title: Cost-effective ML development in your cloud
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title: Cost-effective LLM development
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hide:
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- navigation
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- toc

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