#### Optimizations

A naive implementation would simply regenerate all resources, of all subscribed types, for each client, on any configuration change. However, this scales poorly. As a result, we have many levels of optimizations to avoid doing this work.

Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it...

            optimizations. Setting the variable to 0 or unsetting it will
            disable the optimizations.
        *   These optimizations can yield slightly different numerical results
            from when they are off due to floating-point round-off errors from
            different computation approaches and orders.
        *   To verify that the optimizations are on, look for a message with

Au final, peu importe le cas parmi ceux ci-dessus, **FastAPI** fonctionnera de manière asynchrone et sera extrêmement rapide.

Mais si vous suivez bien les instructions ci-dessus, alors **FastAPI** pourra effectuer quelques optimisations et ainsi améliorer les performances.

## Détails techniques

Les versions modernes de Python supportent le **code asynchrone** grâce aux **"coroutines"** avec les syntaxes **`async` et `await`**.

* reverts an aws-ebs volume provisioner optimization as we need to further discuss a viable optimization ([#78200](https://github.com/kubernetes/kubernetes/pull/78200), [@zhan849](https://github.com/zhan849))

   ([#121958](https://github.com/kubernetes/kubernetes/pull/121958), [@neolit123](https://github.com/neolit123))
- Added an optimization to reduce stack memory usage for watch requests. It can be disabled with the feature gate: `APIServingWithRoutine=false` ([#120902](https://github.com/kubernetes/kubernetes/pull/120902), [@linxiulei](https://github.com/linxiulei))

* ♻ Remove `media_type` from `ORJSONResponse` as it's inherited from the parent class. PR [#5805](https://github.com/tiangolo/fastapi/pull/5805) by [@Kludex](https://github.com/Kludex).
* ♻ Instantiate `HTTPException` only when needed, optimization refactor. PR [#5356](https://github.com/tiangolo/fastapi/pull/5356) by [@pawamoy](https://github.com/pawamoy).

### Docs

## Compiler {#compiler}

The build time overhead to building with [Profile Guided Optimization](/doc/pgo) has been reduced significantly.
Previously, large builds could see 100%+ build time increase from enabling PGO.
In Go 1.23, overhead should be in the single digit percentages.

## Assembler {#assembler}

#### Debug builds

When [building Tensorflow](https://www.tensorflow.org/install/source), passing
`--config=dbg` to Bazel will build with debugging information and without
optimizations, allowing you to use GDB or other debuggers to debug C++ code. For
example, you can build the pip package with debugging information by running:

```bash

            put(CLIConfigurationKeys.MESSAGE_COLLECTOR_KEY, messageCollector)
            put(JVMConfigurationKeys.RETAIN_OUTPUT_IN_MEMORY, false)
            put(JVMConfigurationKeys.DISABLE_OPTIMIZATION, true)
            put(CommonConfigurationKeys.MODULE_NAME, "parser")

            configureKotlinCompilerForGradleBuild()

            addJvmClasspathRoots(PathUtil.getJdkClassesRoots(Jvm.current().javaHome))