Solution Brief

F5 and MinIO for Secure, Performant AI Infrastructure

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Who This is For:

Enterprise IT architects, cloud infrastructure leads, and AI platform engineers evaluating on-premises or hybrid alternatives to public cloud for production AI workloads.

Key Takeaways
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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.

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The F5 and AIStor joint solution combines application delivery and security with high-performance object storage, providing a unified on-prem alternative for secure, scalable AI data infrastructure.

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Organizations can reduce AI infrastructure costs, eliminate latency bottlenecks, and maintain enterprise-grade security by deploying F5 and AIStor as a replacement for public cloud AI data delivery.

AI workloads that started in public cloud are running into its limits at production scale: high egress costs, latency bottlenecks in data pipelines, and security requirements that shared infrastructure cannot fully satisfy. This solution brief presents the joint F5 and MinIO architecture as a high-performance on-premises alternative built specifically for AI at scale. By combining F5's Application Delivery and Security Platform with AIStor's object storage, organizations gain secure, high-speed data movement for AI and enterprise workloads without the cost penalties of cloud-native deployments. The brief covers the deployment architecture for on-premises AI infrastructure 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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