AI workloads are moving from experimentation to production at scale — and the public cloud infrastructure many organizations initially chose is showing its limits: high costs, latency bottlenecks in AI workflows, and growing demands for secure, performant, and reliable data access. This solution overview presents the joint F5 and MinIO infrastructure as a high-performance alternative built for AI at scale. By combining F5's Application Delivery and Security Platform with MinIO AIStor's object storage, organizations gain secure, high-speed data movement for AI and enterprise workloads without the cost penalties of cloud-native deployments. Covers the architecture for deploying AI infrastructure on-premises with enterprise-grade security, performance benchmarks for AI data delivery, and the business case for organizations evaluating cloud alternatives for production AI workloads.
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AI workloads at production scale are exposing the limits of public cloud: high egress costs, latency bottlenecks in data pipelines, and security requirements that public infrastructure cannot fully satisfy.
The F5 and MinIO joint solution combines application delivery and security with high-performance object storage, providing a unified on-prem alternative for secure, scalable AI data infrastructure.
Organizations can reduce AI infrastructure costs, eliminate latency bottlenecks, and maintain enterprise-grade security by deploying F5 and MinIO AIStor as a replacement for public cloud AI data delivery.
Enterprise IT architects, cloud infrastructure leads, and AI platform engineers evaluating on-premises or hybrid alternatives to public cloud for production AI workloads.
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