Standard_NC40ads_H100_v5 AML Compute Cluster Node has only 128 GB of storage

### Operating System

Windows

### Version Information

I am creating a Cluster and a training job via Azure ML Studio

### Steps to reproduce

According to the documentation (https://learn.microsoft.com/en-us/azure/virtual-machines/ncads-h100-v5) the Standard_NC40ads_H100_v5 VM of the h100_v5 compute familty has 3576 GiB of storage, but a compute cluster node of that vm size has only 128 GB of memory. This goes against the purpose of the compute (like training LLM) because bigger-than-small LLM wont fit inside the disk to even start training.

### Expected behavior

The cluster node should have around 3576 GiB of disk storage as advertised.

### Actual behavior

The node has only 128 GB of storage so it's not possible to use it to train or run even medium models (like Qwen3-Coder-Next)

### Addition information

My workspace is in the West Europe region.

Start by comparing the Standard_NC40ads_H100_v5 storage listed in the linked Azure VM documentation with the storage exposed by the Azure ML Studio cluster in West Europe. Confirm the discrepancy and determine whether the resolution belongs in the Azure ML examples repository or the Azure service; done means the documented and provisioned storage behavior is reconciled.

Written by the indexing model from the issue text.