When using FastAPI to deploy multiple sets of apps using NGINX under Windows, the CPU usage has been fluctuating around 50% with the increase in the number of concurrent applications, and there is no obvious change, what is the reason?

[Yasuo369]

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Example Code

from typing import Union

import uvicorn
from fastapi import FastAPI

app = FastAPI()


@app.get("/test")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}


if __name__ == '__main__':
    uvicorn.run(app='demo:app', host='0.0.0.0', port=8000, workers=2, use_colors=True)

Description

When using FastAPI to deploy multiple sets of apps using NGINX under Windows, the CPU usage has been fluctuating around 50% with the increase in the number of concurrent applications, and there is no obvious change, what is the reason?
I want to take full advantage of my PC's performance and figure out the right way to deploy FastAPI.

Operating System

Windows

Operating System Details

No response

FastAPI Version

0.111.0

Pydantic Version

1.10.4

Python Version

3.8.3

Additional Context

No response