OrangeFS is a scale-out parallel filesystem meant to sit next to the compute. When you run training or simulation in the cloud, stand up OrangeFS in the same region so clients, storage servers, and compute share a low-latency network, with the same mount model your on-prem jobs already use.
Cloud GPU and HPC time is useful only if storage can keep up. Single-instance disks and simple network filesystems often become the bottleneck mid-campaign. OrangeFS spreads data and metadata across storage servers in your VPC so throughput scales with the cluster, using the upstream Linux kernel client and MPI-IO paths teams already know on-prem.
What this is not: stretching one OrangeFS mount across the public internet. Parallel I/O wants a tight network. Stage or replicate datasets into the cloud cluster first, then run hard against local OrangeFS.
Cloud parallel storage makes sense when single-instance EBS or SSD limits show up mid-campaign, not on the architecture diagram. If you also need orchestration, data governance, and VDI around storage, projectEureka integrates OrangeFS into those environments.