fastapi: upload file of multiple files of 256M is very slow

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Example Code

from fastapi import File, UploadFile
import aiofiles

# Upload file using fastapi
@app.post("/upload")
async def upload1(files: UploadFile = File(...)):
    for file in files:
        try:
            contents = await file.read()
            async with aiofiles.open(file.filename, 'wb') as f:
                await f.write(contents)
        except Exception:
            return {"message": "There was an error uploading the file(s)"}
        finally:
            await file.close()

    return {"message": f"Successfuly uploaded {[file.filename for file in files]}"} 

# STREAM method to upload file

from fastapi import Request
import aiofiles

@app.post('/upload')
async def upload2(request: Request):
    try:
        filename = request.headers['filename']
        async with aiofiles.open(filename, 'wb') as f:
            async for chunk in request.stream():
                await f.write(chunk)
    except Exception:
        return {"message": "There was an error uploading the file"}
     
    return {"message": f"Successfuly uploaded {filename}"}

Description

if I try to upload using upload1 in parallel 6 files of 256M each, fastapi upload is stuck(the function upload1 is not even entered until all 6 files are copied), from reading about it here: https://stackoverflow.com/questions/65342833/fastapi-uploadfile-is-slow-compared-to-flask/70667530#70667530 I understand that if the size is bigger then 1MB then the file is written to disk (to a tmp directory, but I couldn’t find it there for some reason) I tried second approach using upload2 (stream) but then my upload was stuck in this line: async for chunk in request.stream() Im wondering if there is anything wrong with these implementations (upload1 or upload2), why in upload1, all the files are uploaded and then upload1 function is entered (for each upload) how to generate a bigger chunk for upload2?

Operating System

Linux

Operating System Details

Vmware Ubuntu 18.4

FastAPI Version

0.78.0

Python Version

python 3.8

Additional Context

No response