!!! tip
        By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.

        That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.

        When you install FastAPI with something like `pip install fastapi` you already get `uvicorn[standard]` as well.

=== "Hypercorn"

    "pydantic-settings >=2.0.0",
    # Extra Pydantic data types
    "pydantic-extra-types >=2.0.0",
]

[tool.mypy]
strict = true

[[tool.mypy.overrides]]
module = "fastapi.concurrency"
warn_unused_ignores = false
ignore_missing_imports = true

[[tool.mypy.overrides]]
module = "fastapi.tests.*"
ignore_missing_imports = true
check_untyped_defs = true

[[tool.mypy.overrides]]

* ✨ Add illustrations for Concurrent burgers and Parallel burgers. PR [#5277](https://github.com/tiangolo/fastapi/pull/5277) by [@tiangolo](https://github.com/tiangolo). Updated docs at: [Concurrency and Burgers](https://fastapi.tiangolo.com/async/#concurrency-and-burgers).

### Translations

* Others...

## Replication - Processes and Memory

With a FastAPI application, using a server program like Uvicorn, running it once in **one process** can serve multiple clients concurrently.

But in many cases, you will want to run several worker processes at the same time.

### Multiple Processes - Workers