# Red Hat OpenShift AI, Build, serve and govern models and agents on your own platform Red Hat OpenShift AI is an MLOps and generative-AI platform on OpenShift. It gives teams workbenches, pipelines, distributed training, high-performance model serving and monitoring to build, deploy and govern models and agents across hybrid cloud. **Vendor:** Red Hat **Solution area:** Platform Solutions / Agentic AI & Governance · Sovereign & On-Prem Agentic AI **Role in the agentic stack:** Your private AI factory: model serving, pipelines and agent building blocks on infrastructure you control. **Industries:** Banking & Financial Services, Public Sector & Government, Telecommunications, Oil & Gas, Retail & Consumer ## Our Red Hat OpenShift AI services - **AI platform strategy:** Decide what runs on OpenShift AI versus cloud AI services, by workload and data sensitivity. - **OpenShift AI implementation:** Install and configure workbenches, pipelines, serving and monitoring on your OpenShift clusters. - **GPU enablement & sizing:** NVIDIA GPU integration, sharing and capacity planning for training and inference. - **Private LLM & agent serving:** Deploy and tune open-weight models and agent runtimes for copilots and agents. - **MLOps & model governance:** Pipelines, registry, monitoring, bias and drift controls with audit evidence. - **Managed AI platform:** Ongoing platform operations, model updates and cost optimisation. ## What you get - AI platform reference architecture - Configured OpenShift AI environment with GPU enablement - Model-serving and evaluation pipeline for your first use case - MLOps and governance runbooks - Team enablement and knowledge transfer ## Typical engagement - Assess (1–2 weeks): Use cases, models, GPUs and data access mapped. - Design (1–2 weeks): Platform, serving, security and governance design. - Build & first use case (4–8 weeks): Platform live with a first model or agent in production. - Operate (Ongoing): Managed operations, model lifecycle and cost control. ## Capabilities - **Data science workbenches:** Self-service, GPU-enabled notebook environments for teams. - **Model serving & inference:** High-throughput serving of open and custom models, including vLLM-based inference. - **Pipelines & distributed training:** Repeatable data-science pipelines and distributed training and fine-tuning. - **Model registry & monitoring:** Versioning, deployment tracking, drift and bias monitoring. - **Agentic AI building blocks:** Standard APIs and tool integration (including MCP) to build and run agents on the platform. ## Use cases - **Private LLM serving** (Public Sector & Government, Banking & Financial Services): Serve open-weight models in-country for copilots and agents. - **Fraud and risk models** (Banking & Financial Services, Retail & Consumer): Train, deploy and monitor ML models with full lineage. - **Predictive maintenance at the edge** (Oil & Gas, Telecommunications): Train centrally, serve models close to plants and sites. ## Services - [Machine Learning & MLOps](https://www.nitronedge.com/services/ai-ml/) - [Generative AI & Copilots](https://www.nitronedge.com/services/generative-ai/) - [Agentic AI Development](https://www.nitronedge.com/services/agentic-ai/) - [AI Governance & Responsible AI](https://www.nitronedge.com/services/ai-governance/) ## FAQ ### Can OpenShift AI run fully on-premises? Yes, including disconnected and air-gapped environments, which is why it suits sovereign and regulated AI. ### Which models can we serve? Open-weight models such as Llama, Mistral, Qwen and Granite, as well as your own custom and fine-tuned models. ### Do we need OpenShift first? Yes, OpenShift AI runs on OpenShift. If you don't have it yet, we deliver both together using our OpenShift AI Platform Accelerator. ### What is Red Hat OpenShift AI? Red Hat OpenShift AI is Red Hat's platform for building, training, serving and monitoring AI models and agents on OpenShift, across data centre, cloud and edge. ### Is NitronEdge a Red Hat OpenShift AI partner? Yes. NitronEdge Technologies works with Red Hat to design, implement, integrate and support Red Hat OpenShift AI for organisations in the Middle East, Africa, USA, India and Canada. ### How does Red Hat OpenShift AI fit into an agentic AI architecture? Your private AI factory: model serving, pipelines and agent building blocks on infrastructure you control. NitronEdge positions Red Hat OpenShift AI in the Platform Solutions layer of its agentic stack (build & orchestrate). ### Can NitronEdge deliver Red Hat OpenShift AI in Saudi Arabia, the USA or India? Yes. We work with organisations across the Middle East (United Arab Emirates, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait), Africa (South Africa, Nigeria, Kenya, Egypt), the USA, India and Canada. Delivery is remote and on-site, and we design every project around the local data protection and data residency rules. ### Which industries use Red Hat OpenShift AI? NitronEdge delivers Red Hat OpenShift AI for Banking & Financial Services, Public Sector & Government, Telecommunications, Oil & Gas and Retail & Consumer.