Red Hat AI
Accelerate the development and deployment of enterprise AI solutions with a trusted foundation across the hybrid cloud.
Agentic
Interactive Demo
GenAI Studio
Learn how GenAI Studio in Red Hat OpenShift AI helps developers access deployed models, integrate MCP tools, and test applications.
Interactive Demo
Enterprise AgentOps - Operationalizing AI Agents on Red Hat AI
Learn how Enterprise AgentOps supports operationalizing AI agents on Red Hat AI with enterprise-ready workflows and platform guidance.
Interactive Demo
MLflow & Agent Observability
Learn how MLflow enhances AgentOps with model performance evaluation, experiment tracking, metrics review, and run analysis for better AI model development and monitoring.
AI at Scale
Interactive Demo
The AI Hub
Learn how AI Hub centralizes model discovery, evaluation, and management for enterprise AI workflows.
Interactive Demo
Autoscaling AI Inference Supporting Infrastructure
Learn how autoscaling AI inference infrastructure can adjust compute resources based on workload demand.
Interactive Demo
GPU as a Service
Learn how GPU as a Service supports reserving, allocating, and managing GPU resources for AI workloads.
AI Inference
Interactive Demo
Hands on with vLLM
Learn how vLLM powers AI inference by efficiently serving and deploying open models, helping reduce memory requirements while improving performance.
Interactive Demo
Benchmarking Gen AI Inference: The Business Impact of Performance Optimization
Learn how Red Hat AI Inference Server supports generative AI model deployment, inference optimization, and accelerator use across environments.
Interactive Demo
Introduction to llm-d
The Red Hat Architecture Center showcases successful deployments of Red Hat’s and our partners’ software, as well as provides architecture best practices, tools, and links to other associated resources to meet your innovative business objectives.
Interactive Demo
Workbenches for LLM Compressor GuideLL
Learn how LLM Compressor and GuideLLM workbenches help evaluate, compress, and optimize large language models in OpenShift AI.
Interactive Demo
LLM Compression & Model Optimization
Learn how the LLM Compressor reduces resource usage and accelerates inference by optimizing large language models for enterprise environments.
Interactive Demo
Intro to Red Hat AI Inference
Learn how Red Hat AI Inference supports model deployment, inference serving, and AI workload management.
Interactive Demo
Intro to Speculative Decoding
Learn how Speculative Decoding model optimization technique doubles AI response speed with Red Hat AI deployment and implementation guidance.
AI Quickstarts
Interactive Demo
Prevent PPE safety risks in real-time
Learn AI-powered real-time PPE safety risk prevention. See how computer vision and AI monitoring detect personal protective equipment violations and enhance workplace safety.
Interactive Demo
AI observability summarizer AI quickstart
Explore AI observability summarizer quickstart for automated monitoring insights. See how AI analyzes metrics, logs, and traces to deliver actionable observability summaries.
Interactive Demo
Welcome to Digital Lemonade Stand
Learn about Digital Lemonade Stand, an interactive AI demonstration. Learn AI concepts through hands-on business simulation and engaging educational experiences.
Interactive Demo
Centralize company knowledge with an Enterprise RAG Chatbot
Learn how to build an enterprise RAG chatbot that uses specialized data sources to support more context-aware responses.
Interactive Demo
Automate mortgage lending with multi-agent AI
Learn how multi-agent AI automates mortgage lending workflows. See AI agents collaborate on loan processing, risk assessment, and automated decision-making.
AI Safety & Governance
Interactive Demo
Guardrails and Evaluations Closed Loop AI Security
Learn how AI security guardrails and evaluation systems support safer LLM outputs using tools such as Garak.
Interactive Demo
AI Security and Safety
Learn how AI security and AI safety differ and review enterprise recommendations for building and running AI systems with Red Hat AI.
Connect Models to Data & Agents
Interactive Demo
Create and Configure an AutoRAG Experiment in OpenShift AI
Learn how OpenShift AI supports AutoRAG experiments by connecting S3 storage, selecting documents, configuring experiments, and reviewing results.
Interactive Demo
Explore and Run Inference-Time Scaling Scenarios to Improve Model Performance
Learn how inference-time scaling scenarios can help improve model performance by selecting use cases, running scenarios, and analyzing results.
Interactive Demo
Navigate and Review the OpenShift AI SDG Hub
Learn how to navigate the OpenShift AI SDG Hub, review key synthetic data generation concepts, and access related resources.
Interactive Demo
Review Trace Results for a Completed OpenShift AI Evaluation
Learn how to review completed OpenShift AI evaluation results by accessing trace details and filtering evaluation run data.
Interactive Demo
Run an AutoML Experiment in OpenShift AI
Learn how OpenShift AI supports AutoML experiments by configuring runs, using S3 data, launching experiments, and interpreting results.
Explore more interactive demos
The learning doesn't stop here. See real solutions to your toughest technology challenges—right from your desk.
Hands on, game on
Engage with our interactive labs in a virtual environment and apply what you learn about Red Hat technologies to transform your skills, and organization.
