Red Hat OpenShift AI
Shares tags: deploy, self-hosted, on-prem
AI Tool
Unlock the Power of AI with Red Hat OpenShift AI
Seamlessly deploy and manage scalable AI workloads on-premise.
Accelerate AI model deployment with advanced orchestration capabilities.Enhanced security measures ensure safe and compliant AI workflows.Collaborate effortlessly with unified dashboards and integrated pipelines.
Tags
DeploySelf-hostedOn-prem
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overview
What is OpenShift AI?
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.
- Built for enterprise-level AI solutions
- Supports various AI accelerators including NVIDIA, AMD, and Intel
- Optimized for hybrid and edge cloud environments
features
Key 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.
- LeaderWorkerSet for advanced distributed training and inference
- Curated ecosystem of validated AI models for rapid deployment
- Unified workflow tools including an intuitive dashboard and pipelines
use_cases
Who Can Benefit?
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.
- Data scientists looking for efficient model management
- DevOps teams needing streamlined AI lifecycle processes
- IT operations requiring compliance and security in AI applications
Frequently Asked Questions
What types of AI workloads can be deployed on OpenShift AI?
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.
How does OpenShift AI enhance security for AI applications?
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.
Is OpenShift AI suitable for edge computing?
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.