title: TensorFlow, Large-scale machine learning on heterogeneous systems

Lorsqu'on se réfère à la machine distante, il est courant de l'appeler **serveur**, mais aussi **machine**, **VM** (machine virtuelle), **nœud**. Tout cela fait référence à un type de machine distante, exécutant  Linux, en règle générale, sur laquelle vous exécutez des programmes.


## Installer le programme serveur

Vous pouvez installer un serveur compatible ASGI avec :

=== "Uvicorn"

When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.

## Install the Server Program

When you install FastAPI, it comes with a production server, Uvicorn, and you can start it with the `fastapi run` command.

But you can also install an ASGI server manually:

=== "Uvicorn"

## Full Stack FastAPI MongoDB

... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.

## TensorFlow models are programs

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted

[ ] Extensions and Telemetry
[ ] Security
[ ] Test and Release
[ ] User Experience
[ ] Developer Infrastructure

**Affected features (please put an X in all that apply)**

[ ] Multi Cluster
[ ] Virtual Machine
[ ] Multi Control Plane

  // This field cannot be empty for new Events and it can have at most 128 characters.
  optional string reportingInstance = 5;

  // action is what action was taken/failed regarding to the regarding object. It is machine-readable.
  // This field cannot be empty for new Events and it can have at most 128 characters.
  optional string action = 6;

  // reason is why the action was taken. It is human-readable.

## Caso de uso

Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖

  // This field cannot be empty for new Events and it can have at most 128 characters.
  // +optional
  optional string reportingInstance = 5;

  // action is what action was taken/failed regarding to the regarding object. It is machine-readable.
  // This field can have at most 128 characters.
  // +optional
  optional string action = 6;

  // reason is why the action was taken. It is human-readable.
  // This field can have at most 128 characters.

## Use Case

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖