HPC in Azure looks attractive on paper: on-demand compute, virtually unlimited scale, and managed services for parallel filesystems. The operational reality for mid-market enterprises and MSPs is harsher. Performance-sensitive workloads (MPI, GPU, RDMA) amplify storage costs, introduce jitter, and expose gaps in cloud storage semantics. Left unchecked, egress fees, per-IO/throughput billing, and repeated data copies across tiers rapidly erode margins and complicate compliance.

Traditional approaches — bolt-on cloud file services, ad-hoc lift-and-shift of on-prem SAN data, or trying to re-architect apps to fit ephemeral cloud storage — fail because they treat storage as a commodity. They hand control to multiple opaque billing meters, increase lifecycle churn, and force teams into brittle workarounds to meet SLAs. The more pragmatic alternative is a data-platform approach: an intelligent layer that enforces placement, lifecycle and compliance policies across on-prem and Azure, minimizes costly data movement, and gives IT back predictable cost and operational control. STORViX is positioned as that kind of platform: not a silver bullet for every HPC use-case, but a way to remove the most damaging sources of cost, risk and complexity when running HPC in Azure.