OSError: resource or device busy

Nobody has claimed this yet.

### Bug description

Every time we use num_workers > 0 we get the following which might not technically be classified as an issue but I was wondering whether there's something that can be about it?

os.unlink(entry.name, dir_fd=topfd)
OSError: [Errno 16] Device or resource busy: '.nfs000000000593097500003963'

I don't know why this is happening with pytorch_lightning but for comparison the pytorch dataloader doesn't seem to have the same behavior or issue when specifying num_workers > 0

### What version are you seeing the problem on?

v2.4

### Reproduced in studio

_No response_

### How to reproduce the bug

```python

```

### Error messages and logs

```
# Error messages and logs here please
```

### Environment

Current environment

```
#- PyTorch Lightning Version (e.g., 2.5.0):
#- PyTorch Version (e.g., 2.5):
#- Python version (e.g., 3.12):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
```

### More info

_No response_

Start by reproducing the error with num_workers > 0 in PyTorch Lightning v2.4 and compare the behavior with the PyTorch dataloader. The issue is resolved when the .nfs resource-busy error no longer occurs during worker-related cleanup, with the relevant Python and environment details documented.

Written by the indexing model from the issue text.