# GPU Container

### What is GPU Container? <a href="#contentify_0" id="contentify_0"></a>

GPU Container is a managed compute platform that lets you run containers directly on top of FPT’s AI Factory infrastructure. With just a few clicks, you can deploy and manage AI workloads effortlessly—whether by using your own container images or leveraging the built-in images provided by FPT.

### How does it work? <a href="#contentify_1" id="contentify_1"></a>

A GPU container runs applications in an isolated environment with direct access to GPU resources. It uses tools like the NVIDIA Container Toolkit to leverage GPU acceleration for tasks like AI, ML, or data processing—without complex setup.

### Why GPU container? <a href="#contentify_2" id="contentify_2"></a>

1. **Containerized AI Deployment:** Runs AI workloads in containers.
2. **High-Performance GPU Compute:** Access to NVIDIA GPUs for AI/ML workloads.
3. **Quick Deployment**: Spin up a container with a powerful GPU in 1 click using our built-in templates.
4. **Persistent Storage**: This storage is persistent and will be available even if the container is stopped.


---

# 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://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container.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.