Red Hat OpenShift AI
Shares tags: deploy, self-hosted, on-prem
Seamlessly deploy and manage scalable AI workloads on-premise.
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overview
Red Hat OpenShift AI is a robust Kubernetes-based platform designed for on-premise AI deployments. It empowers organizations to manage and scale AI workloads securely and efficiently, giving teams the tools they need to innovate.
features
OpenShift AI 4.20 transforms the way organizations harness AI with a suite of cutting-edge features tailored for advanced workloads. From orchestration to model serving, every aspect of AI lifecycle management is covered.
use cases
Designed for enterprise data science, AI/ML engineers, developers, and IT operations teams, OpenShift AI addresses the complex needs of scalable and secure AI workflows. Whether on-premise or at the network edge, it provides the necessary capabilities to drive innovation.
OpenShift AI supports a wide range of advanced AI workloads including distributed training, model inference, and scalable model serving, optimized for both on-premise and cloud environments.
Featuring strong security enhancements such as Zero Trust workload identities, external identity provider integration, and post-quantum cryptography, OpenShift AI ensures that your AI deployments remain secure and compliant.
Yes, OpenShift AI is optimized for hybrid and edge cloud environments, making it a powerful choice for organizations looking to leverage AI capabilities across various deployment scenarios.
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