"MisconfigurationException: No supported gpu backend found!" with multi gpu training in jupyter notebooks

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### Bug description

When trying to train on two GPUs in a jupyter notebooks environment on jarvislabs.ai with `ddp_notebooks` I get the following error "MisconfigurationException: No supported gpu backend found!".

I'm trying to train on two RTX 5000 GPUs. On a Kaggle GPU the same code runs without any problem.

Any ideas?

### How to reproduce the bug

```python
trainer = pl.Trainer(
max_epochs=2,
accelerator="gpu",
devices=2,
precision=16,
accumulate_grad_batches=2
)
trainer.fit(model, train_dl, val_dl)
```

### Error messages and logs

"MisconfigurationException: No supported gpu backend found!"

### Environment

```

#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
#- PyTorch Lightning Version (e.g., 1.5.0): 1.7.7
#- Lightning App Version (e.g., 0.5.2):
#- PyTorch Version (e.g., 1.10): 1.11
#- Python version (e.g., 3.9):
#- OS (e.g., Linux):
#- CUDA/cuDNN version: V11.6.55
#- GPU models and configuration: 2x RTX 5000
#- How you installed Lightning(`conda`, `pip`, source): pip
#- Running environment of LightningApp (e.g. local, cloud): jarvislabs.ai

```

### More info

_No response_

cc @justusschock @awaelchli

Start by reproducing the shown Trainer configuration with ddp_notebooks on jarvislabs.ai using two RTX 5000 GPUs, then compare it with the working Kaggle environment and the reported Python, CUDA, and Lightning versions. Done means multi-GPU notebook training starts without the “No supported gpu backend found!” exception.

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