# Welcome to Cedana

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**Cedana** (/ce'dana/) is Save/Migrate/Resume (SMR) for containerized CPU and GPU workloads. Our solution sits between the linux kernel and your workloads to save the full state of your container enabling you to save, migrate and resume your workloads across instances and vendors.

Our API enables users to integrate this powerful capability into their clusters.

We are building a global, real-time system for compute that is designed to 1) maximize compute utilization by eliminating idle resources, 2) seamlessly access all available compute, 3) increase reliabiltiy and availability through node failures, and 4) support policy-based orchestration with workload-level SLAs. This changes how we allocate resources to high performance computing, numerical simulation, and training/running AI models.

To get started, follow the sidebar!


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cedana.ai/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.