API/HTTP file upload over ~ 500 MB fails and crashes dataverse-docker, while upload via web-interface usually works

What steps does it take to reproduce the issue?
Upload of a file over 500 MB (435 worked still) to a dataset via the API, like with pyDVuploader or DVCLI (Rust), likely also via curl-commands.
This was found after a (now fixed) bug in pyDVuploader:
https://github.com/gdcc/python-dvuploader/issues/47#issuecomment-3442453456
Note external reproduction by @JR-1991 https://github.com/gdcc/python-dvuploader/issues/47#issuecomment-3443037594

Upload via Web-Interface does work (usually).
We "upload" from localhost in our setup, which is relatively fast. However, slowing down localhost to a "normal" network speed does NOT solve the issue -> not speed related

• When does this issue occur?
  During the upload, the progress stalls (in testing a bit before 500 MB). After less than half a minute, the upload progress continues slowly. At 100%, the upload command does not finish, however.
  Opening the web GUI reveals that the server / docker container crashed.
  The upload command continues to run for ~10 minutes, after which usually read error is thrown (see issue above).

• What happens?
  Docker / Web server restarts, upload fails. Sometimes the uploaded file actually is stored on the dataset (smaller files?), but in most cases it is not and the upload completely fails.

• To whom does it occur (all users, curators, superusers)?
  Superuser via API, likely also others

• What did you expect to happen?
  A finishing file upload to the dataset

Which version of Dataverse are you using?
6.8, also appeared with 6.6, as docker instance

Any related open or closed issues to this bug report?
https://github.com/gdcc/python-dvuploader/issues/47
Did not find an existing main-dataverse issue.

Screenshots:
Please see related bug report in pyDVuploader

Are you thinking about creating a pull request for this issue?
We have no idea what causes the issue. We might circumvent the bug via a local S3 storage. However, this complicates our setup, also our development setup.