# Run a Server Manually { #run-a-server-manually }

## Use the `fastapi run` Command { #use-the-fastapi-run-command }

In short, use `fastapi run` to serve your FastAPI application:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:solid">main.py</u>

  <span style="background-color:#009485"><font color="#D3D7CF"> FastAPI </font></span>  Starting production server 🚀

# Einen Server manuell ausführen – Uvicorn

Das Wichtigste, was Sie zum Ausführen einer **FastAPI**-Anwendung auf einer entfernten Servermaschine benötigen, ist ein ASGI-Serverprogramm, wie **Uvicorn**.

Es gibt 3 Hauptalternativen:

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: ein hochperformanter ASGI-Server.

Sebastián Ramírez <******@****.***> 1735583217 +0000

Sebastián Ramírez <******@****.***> 1722919710 -0500

Sebastián Ramírez <******@****.***> 1731170360 +0100

Sebastián Ramírez <******@****.***> 1731170360 +0100

Sebastián Ramírez <******@****.***> 1731170360 +0100

nillvitor <******@****.***> 1736455267 -0300

//go:build goexperiment.arenas

/*
The arena package provides the ability to allocate memory for a collection
of Go values and free that space manually all at once, safely. The purpose
of this functionality is to improve efficiency: manually freeing memory
before a garbage collection delays that cycle. Less frequent cycles means
the CPU cost of the garbage collector is incurred less frequently.

    using an older version of Guava or a build system other than Gradle, they
    may see class conflicts. If so, they can solve them by manually excluding
    the listenablefuture artifact or manually forcing their build systems to
    use 9999.0-....
  </description>
  <build>
    <plugins>
      <plugin>
        <artifactId>maven-source-plugin</artifactId>
      </plugin>