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9-23 Red Hat AI Virtual Workshop: AI AgentOps

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8-26-26 Red Hat AI Virtual Workshop: AI AgentOps

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Red Hat AI

On Demand Webinars & Events

Red Hat AI for business leaders

As the 2026 landscape takes shape, business leaders are facing a pivotal transition: the demand for measurable P&L impact has officially superseded the initial wave of AI exploration.

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Whats New and Whats Next with Red Hat AI Q2 2026

Join us for the latest Red Hat AI “What’s New and What’s Next session Q2 ‘26, which covers new capabilities, technical preview features, and the strategic vision for Red Hat AI.

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Insights Panel: Taming TCO and Scaling Inference for AI

Enterprises often start their AI journey with public APIs, but quickly face new challenges at scale: unpredictable costs, latency for real-time apps, and the need for data compliance.

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Metal to agents: Bridging the production gap for agentic AI

The enterprise AI landscape is rapidly shifting from simple chatbots running on LLMs to agentic AI; autonomous systems capable of reasoning, planning, and executing complex, multi-step tasks.

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What's New and What's Next for Red Hat AI

Join us for the latest Red Hat AI “What’s New and What’s Next session which covers new capabilities, technical preview features, and the strategic vision for Red Hat AI.

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Optimized AI Inference: Boosting Performance & Slashing Costs with Red Hat AI Inference Server

Efficiently running powerful AI and Large Language Models (LLMs) is a critical challenge, often leading to high operational costs and performance hurdles.

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Model-as-a-Service with Red Hat AI: Scalable, open, and cost-efficient by design

As organizations move AI workloads into production, the cost and complexity of serving large models at scale quickly become critical concerns. Traditional model-serving stacks are often tied to specific hardware, frameworks, or proprietary platforms, creating expensive lock-in and limited flexibility.

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Agentic Infrastructure Operations

Agentic Infrastructure Operations is a technique to accelerate and automate sophisticated challenges within the enterprise IT estate.

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GovCIO Panel: AI Foundations Driving Government Efficiency

With the new administration prioritizing cost reduction and workforce augmentation, IT leaders are rethinking how they implement and scale AI to support mission outcomes efficiently and responsibly.

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Sovereign AI in practice: Trust, cost efficiency, and control with Red Hat AI

As organizations accelerate AI adoption, many are realizing that true sovereign AI requires more than regulatory compliance. It demands trust in how systems behave, the flexibility to adapt as technology evolves, and a cost structure that can scale sustainably. Closed, vertically integrated AI stacks make this difficult: they obscure model decision-making, lock organizations into specific vendors, and drive up inference costs as usage grows.

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Technical Fast-Tracks:

Solving the "Day 2" Challenges of AI

These bite-sized technical sessions (all under 15 minutes) are designed for the busy professional who needs to solve specific operational hurdles.

Inferencing at the Edge

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Lowering Barriers with Instructlab

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Managing Model Lifecycles with OpenShift AI

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Driving Efficiency with vLLM

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Beyond the Platform:

Expert Guidance to Accelerate Your AI Maturity

Deploying technology is just the beginning. To ensure long-term success, you need the right people and processes. Connect with Red Hat Consulting and specialized AI Workshops designed to help your agency build an "AI Center of Excellence." Learn how our professional services can help you optimize your infrastructure and train your workforce for the AI-augmented future.

Mission Proven:

Real-World AI Outcomes Across the Public Sector

See how other agencies are navigating the AI landscape to drive measurable impact. Featuring peer-validated evidence, including how the U.S. Air Force is accelerating outcomes through model training and how other government organizations are leveraging AI for better citizen services. Use these case studies to build your own internal business case for unified AI adoption.