FREE RESEARCH REPORT
Storage Infrastructure for Enterprise AI
Independent research based on 500+ enterprises actively running private AI reveals where AI initiatives stall in production — and how leading enterprises are addressing the infrastructure constraints behind it.
The production reality
At the same time, organizations report that data and storage infrastructure — not models or GPUs — are the primary constraints to scaling AI in production.
What the survey of 504 medium to large enterprises shows:
- As AI moves into production, data infrastructure is emerging as the limiting factor.
- Over 90% report meaningful use of object storage in AI applications and pipelines
- Production AI is increasingly inference-driven, increasing requirements for data governance, reuse, and lifecycle control
Enterprise teams are using this report to:
➤ Validate AI infrastructure strategies already under review
➤ Understand how peers are structuring production AI environments
➤ Identify infrastructure risks before AI workloads scale further
➤ Support internal discussions around cost, control, governance, and long-term sustainability
Get a clear, data-driven view of how enterprises are scaling AI in production and where infrastructure decisions make or break success.
Independent research conducted by Freeform Dynamics.
Sponsored by Scality.
Sponsored by Scality.
