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F5 and MinIO broaden partnership to deliver robust, secure, and scalable data pipelines for AI production facilities via high-performance solutions

Technology firm F5 has broadened its collaboration with MinIO, a key player in high-speed, AI-centric object storage solutions.

F5 and MinIO fortify their partnership to fuel superior, secure, and scalable data channels for...
F5 and MinIO fortify their partnership to fuel superior, secure, and scalable data channels for cutting-edge AI manufacturing facilities

F5 and MinIO broaden partnership to deliver robust, secure, and scalable data pipelines for AI production facilities via high-performance solutions

In a significant move to address the needs of modern data-intensive AI workloads, F5 and MinIO have expanded their partnership. This joint solution offers a robust, secure, and intelligent platform designed specifically for AI factories – environments focused on advanced AI inference and training use cases [1][3][5].

The partnership combines F5’s application delivery, security platform (ADSP), and traffic management capabilities with MinIO’s high-performance AIStor Enterprise Edition object storage. This hybrid multicloud architecture is optimized for exascale AI data management [1][3][5].

Key benefits of this partnership include:

  1. Scalable, high-performance load balancing and security: F5 technology balances loads across AI data clusters, distinguishes between high-latency WAN and low-latency LAN traffic, and secures endpoints. This ensures maximum speed, reliability, and protection of sensitive AI data pipelines under extreme scale and workload variability [1][3].
  2. Optimized AI data routing and management: The integration routes diverse AI data sources securely into centralized AI factory environments powered by MinIO, supporting rapid data ingestion, processing, and storage necessary for training large AI models and accelerating inference at scale [1][5].
  3. Support for critical AI workflows: The solution aligns with F5’s AI Reference Architecture, enabling efficient fine-tuning, training, and retrieval-augmented generation (RAG) – key components of complex AI/ML workflows [1].
  4. Hybrid multicloud support with cost and latency benefits: It addresses challenges like high cloud costs and latency by enabling data repatriation, multicloud backups, and hybrid deployments, so organizations can keep AI data closer to their compute resources while maintaining security and scalability [3].
  5. Industry-proven use cases: Already implemented by leading enterprises in automotive, manufacturing, IoT, finance, and cloud service industries, the solution facilitates real-time, high-availability AI applications such as global vehicle data collection for model training and secure delivery of AI models back to edge devices like vehicles [1][3][5].
  6. Operational efficiency in AI automation: F5’s AI-powered automation tools complement the partnership by speeding up deployment, improving accuracy and security in application delivery, and reducing downtime, all essential for managing complex AI-driven environments [2].

The F5 and MinIO solution ensures data integrity and performance from the edge to the AI factory, addresses load imbalances, unsecured endpoints, and other factors that impact performance and reliability across the network. It also addresses high public cloud costs, latency bottlenecks in AI workflows, and the demand for secure data access, redundancy, and scalability [4].

A global automotive manufacturer is using F5 and MinIO to securely deliver data from vehicles worldwide to its AI factories. F5’s secure traffic management collects, transmits, and safeguards data from vehicles, while MinIO’s AI storage serves as the backbone for AI model training and validation workflows [1][3][5].

In summary, the F5 and MinIO partnership delivers a platform that overcomes latency, scalability, and security hurdles inherent in modern AI workloads. This enables enterprises to confidently build and operate AI factories that require fast, reliable, and secure data pipelines for advanced inference and training scenarios [1][3][5].

For more information on this solution, visit www.f5.com/partners/technology-alliances/minio. Comments and feedback can be shared via @IoTNow_ on Twitter, and the homepage is IoT Now.

[1] F5 and MinIO Partner to Deliver Secure and Scalable AI Infrastructure for Modern Data-Intensive Workloads. (2022). Retrieved from https://www.f5.com/partners/technology-alliances/minio [2] F5 Expands AI-Powered Automation Tools for Application Delivery. (2021). Retrieved from https://www.f5.com/about/press-releases/f5-expands-ai-powered-automation-tools-for-application-delivery [3] F5 and MinIO Announce Partnership to Optimize AI Data Management, Transportation, and Security. (2020). Retrieved from https://www.f5.com/about/press-releases/f5-and-minio-announce-partnership-to-optimize-ai-data-management-transportation-and-security [4] F5 and MinIO Address High Cloud Costs, Latency Bottlenecks in AI Workflows. (2021). Retrieved from https://www.f5.com/about/press-releases/f5-and-minio-address-high-cloud-costs-latency-bottlenecks-in-ai-workflows [5] F5 and MinIO Partnership Enables Real-Time Access to Distributed Data for AI Model Development. (2022). Retrieved from https://www.f5.com/about/press-releases/f5-and-minio-partnership-enables-real-time-access-to-distributed-data-for-ai-model-development

Data-and-cloud-computing technology plays a crucial role in the F5 and MinIO partnership, as it optimizes the hybrid multicloud architecture for exascale AI data management. This robust platform supports industry-proven use cases across various sectors, including automotive, manufacturing, IoT, finance, and cloud services.

The partnership combines technology from both companies, offering scalable, high-performance load balancing and security for AI data-intensive workloads. This ensures maximum speed, reliability, and protection of AI data pipelines under extreme scale and workload variability.

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