There has been a lot of focus in the industry on how to deliver the performance needed to GPUs as infrastructure teams embark on LLM training, GenAI and Enterprise HPC projects. As the projects expand, data orchestration is crucial to provide efficient and timely movement of decentralized data to available GPUs that likely are not local to the data. By automating and managing the data flow, data orchestration minimizes latency and maximizes GPU utilization, enabling faster processing of large datasets and complex algorithms. We will discuss how existing AI infrastructure teams are leveraging data orchestration to gather larger data sets and improve their AI results.