Enterprise technology leaders, AI infrastructure architects, and data platform teams benchmarking their AI strategy against real-world deployment patterns across industries and geographies.
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70% of MinIO customers are already running AI or ML projects in production — the share moving from planning to production has doubled in the past year, making infrastructure readiness an urgent competitive priority.
On-premises infrastructure remains the backbone of enterprise AI, with 59% running workloads on-prem due to latency, bandwidth, and sovereignty requirements — cloud is used primarily for burst capacity.
Cost, security, and performance are weighted nearly equally as top AI infrastructure constraints, requiring architectures that treat all three as first-order design principles rather than tradeoffs.
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