F5, a US tech company focused on application security, has announced an expanded strategic partnership with MinIO, a leader in high-performance object storage for AI. The partnership delivers a robust solution designed to address the needs of modern data-intensive AI workloads, particularly those that require AI factories for advanced inference and training use cases where data is collected globally from distributed endpoints, edge environments, data centers, and cloud infrastructures. By joining forces, F5 and MinIO deliver scalability, performance, security, and reliability to customers across key industries, including autonomous vehicles, healthcare, retail, Internet of Things (IoT), telecommunications, finance, media, and entertainment, among others. The F5 Application Delivery and Security Platform (ADSP) and MinIO AIStor Enterprise Edition provide a seamless and powerful hybrid multicloud solution for AI/ML data pipelines, data repatriation, data replication, and exascale data storage. Together, these technologies address critical problems faced by enterprises, including high public cloud costs, latency bottlenecks in AI workflows, and the ever-growing demand for secure data access, redundancy, and scalability.\n\nFrom the Edge to the AI Factory: Delivering High-Performance AI in Real-World Applications\nA leading global automotive manufacturer continues to intensify its investments in F5 and MinIO to securely deliver data from vehicles worldwide to its AI factories for continuous and timely improvement of AI models. Through F5’s secure traffic management, data is efficiently collected, transmitted, and safeguarded from vehicles via F5-powered regional points of presence (PoPs) to centralised data lakes in the manufacturer’s AI factories. With MinIO’s secure and high-performance AI storage, the repositories serve as the backbone for AI model training and validation workflows, enabling the analysis needed to improve edge system perception, decision-making, and overall performance in autonomous systems. Once models are trained and validated in the AI factory, updates are securely sent back to vehicles, with all processes supported and safeguarded by F5. This deployment highlights the powerful synergy between F5 and MinIO, delivering scalable, high-performance load balancing and robust security for the most demanding AI environments. The combined solution addresses critical challenges such as load imbalances across data clusters, unsecured endpoints, and other factors that impact performance and reliability across the network. Additionally, it differentiates between high-latency WAN traffic and low-latency LAN traffic to ensure optimal operational performance. By overcoming hurdles in latency, scalability, and security, F5 and MinIO empower enterprises to efficiently manage exascale AI data and develop real-time, high-performance AI applications with confidence, ensuring maximum speed, reliability, and security.\n\nAligned with F5’s AI Reference Architecture, this joint solution provides essential capabilities for fine-tuning, training, and retrieval-augmented generation (RAG) in AI/ML workflows. It also delivers secure, resilient, and high-performance load balancing that intelligently routes AI data from diverse sources to AI factory environments for accelerated inference and training. Already deployed by leading organisations across various industries, including automotive, manufacturing, IoT, cloud service providers, and finance, the solution ensures rapid processing, high availability, and dynamic scalability.\n\nThe most prominent use cases addressed by F5 and MinIO are:\n- Traffic Management for AI Data Ingestion (Batch and Real-Time): Enabling high-throughput, secure ingestion pipelines for data training and inference while eliminating pipeline bottlenecks and hotspots.\n- Data Repatriation from Public Clouds: Supporting organisations that are bringing data back to on-prem or hybrid environments to manage costs and comply with regulations.\n- Data Replication, Secure Multicloud Backup, and Disaster Recovery: Ensuring data availability, reliability, and security across geographies.\n- AI Model Training and Retrieval-Augmented Generation (RAG): Accelerating model development through real-time access to distributed data.\n\n\"This technology alliance partnership between F5 and MinIO showcases the power of two leading platforms coming together to improve how data is managed, transported, and secured at exascale,\" said John Maddison, Chief Product and Corporate Marketing Officer at F5. \"AI and data-intensive applications require high-performance pipelines, and this solution ensures that organisations can meet those demands while simplifying deployment and reducing TCO—all within a secure and globally interconnected framework.\"\n\n\"Rapid AI adoption is reshaping modern data infrastructures, requiring organisations to reliably scale data storage, while maintaining more control over costs, security, and governance,\" said Garima Kapoor, co-CEO and co-founder, MinIO. \"The partnership between MinIO and F5 provides enterprises with a scalable, secure solution that delivers confidence when deploying and managing their AI initiatives, ensuring data integrity and performance from the edge to the AI factory.\"\n

F5, MinIO to offer robust solution for data-intensive AI factories

F5, a US-based application security company, has announced an expanded strategic partnership with MinIO, a leader in high-performance object storage for AI. The collaboration delivers a scalable, secure, and high-performance solution tailored for data-intensive AI workloads, including AI training and inference. The combined F5 Application Delivery and Security Platform (ADSP) and MinIO AIStor Enterprise Edition enables seamless hybrid multicloud operations for AI/ML data pipelines, supporting data repatriation, replication, disaster recovery, and exascale storage. The solution is designed to address challenges such as high public cloud costs, latency bottlenecks, and insecure data endpoints, particularly in industries like automotive, healthcare, retail, IoT, telecommunications, finance, and media. The partnership enables secure data collection from edge devices and vehicles, transmission to centralized AI factories, model training, and secure model updates back to edge systems. The solution also supports real-time traffic management, load balancing, and retrieval-augmented generation (RAG) workflows, with deployments already active across automotive, manufacturing, cloud providers, and finance sectors.