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DagsHub is now integrated with Red Hat OpenShift and OpenShift AI, providing a complete AI development and deployment workflow.​
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TL;DR: Enterprises need to deploy AI securely while handling complex, unstructured data. DagsHub’s integration with Red Hat OpenShift and OpenShift AI provides an end-to-end, on-premise solution for dataset management, experiment tracking, and model deployment—helping teams build and scale AI while maintaining full control over their data.
The Challenge: AI in Secure Enterprise Environments
Enterprises today face the challenge of bringing AI models to production while navigating growing complexity and stringent security requirements. AI applications increasingly depend on vast amounts of unstructured data—computer vision, audio, text, and large language models (LLMs). However, enterprises must manage this data in secure, on-premise environments, ensuring compliance with regulations and internal security policies. The need for a seamless, end-to-end solution that operates in such environments has never been greater.
The Solution: DagsHub and Red Hat OpenShift Integration
To address this challenge, DagsHub is now integrated with Red Hat OpenShift and OpenShift AI, providing a complete AI development and deployment workflow. This integration enables organizations to manage their entire machine learning pipeline, from dataset curation and annotation to experiment tracking and model management, all within a single, secure platform. With DagsHub’s support for unstructured data, enterprises can now streamline AI workflows without compromising security or performance.
Key Benefits of DagsHub on OpenShift
By leveraging DagsHub on top of Red Hat OpenShift, enterprises gain several key benefits:
End-to-End AI Platform – A fully integrated solution that simplifies collaboration and version control across datasets, models, and experiments.Advanced Dataset Management – DagsHub enhances OpenShift AI with powerful dataset curation, annotation, and management tools for computer vision, audio, text, and LLMs.Secure On-Premise Deployment – Enterprises can deploy and manage AI securely within their own infrastructure, ensuring compliance with industry regulations and data privacy policies.Scalability & Flexibility – OpenShift’s Kubernetes-native architecture combined with DagsHub’s machine learning capabilities allows teams to scale AI workloads efficiently.Seamless MLOps Integration – Experiment tracking, model registry, and versioning are built-in, enabling streamlined machine learning operations (MLOps).
A Secure Future for AI Deployment
The partnership between DagsHub and Red Hat OpenShift unlocks new possibilities for enterprises looking to bring AI to production in secure environments. With full support for unstructured data workflows and on-premise deployment, organizations can accelerate AI adoption while ensuring their data remains protected. This collaboration provides the foundation for enterprises to build, iterate, and deploy AI solutions with confidence.
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