Feed Azure AI Services From One Data Foundation, Not Another Copy

You’re responsible for the whole platform, not just the model, so you notice right away when a fine-tune or RAG launch gets stuck. Usually, the problem isn’t the model itself. It’s the underlying infrastructure: moving data out of the data center, copying it into Azure, setting up a vector store, and then constantly monitoring everything to keep it in sync.

That infrastructure also quietly drains your budget. Azure GPUs charge you whether your pipeline is busy. Every time you copy data for inference, retrieval, or regional replication, it uses up capacity and starts to get out of sync right away. Plus, each new data store adds another set of access controls to manage.

This white paper explains how VAST on Cloud (VoC) takes care of that infrastructure for you by running the VAST AI Operating System (VAST AI OS) directly on Azure virtual machines. You get the same software, APIs, and operations you’re already familiar with from your data center.