IN-PERSON EVENT
Red Hat AI Elevate Roadshow
January 1, 2026 - December 31, 2026 | Events designed to help you build, deploy, and manage secure, cost-effective AI solutions anywhere and at scale.
About the event
Red Hat AI Elevate offers tailored, in-person experiences designed to accelerate the time to value of AI-enabled applications across the hybrid cloud. To meet your organization's specific needs, we offer two distinct, modular event formats:
- Executive Session: A high-impact marquee event for leaders to understand how Red Hat AI enables secure, enterprise-ready AI while reducing operational costs.
- Technical Workshop: A fully hands-on lab experience for practitioners to build, train, and deploy AI models using real-world infrastructure.
From strategic architectural overviews to deep-dive technical labs, Red Hat AI Elevate provides the path to move your AI initiatives from idea to production.
Past events
Vancouver, Can
Quebec City, CAN
New York, NY
Denver, CO
St. Louis, MO
Houston, TX
Toronto, ON
Sacramento, CA
Boston, MA
Belcamp, MD
Raleigh, NC
Santa Clara, CA
Scottsdale, AZ
Washington, DC
What you'll learn at this event
Whether you are a business leader or a technical practitioner, these sessions provide the insights and experience needed to operationalize AI across the enterprise.
For Executives & IT Leaders
- Strategic Enablement: See how generative and agentic AI act as strategic business drivers.
- Business Impact: Understand what it takes to build scalable AI applications and how to measure their success.
- Platform Foundation: Learn the critical considerations for building a secure, end-to-end AI platform.
- Cost Optimization: Discover how Red Hat AI helps customize and inference models while reducing operational costs.
For Practitioners (Technical Workshop)
- Private Model-as-a-Service: Work with MaaS infrastructure and private LLM endpoints.
- AI-Powered Development: Integrate AI code assistants into your environment to build and test applications.
- Agentic AI & Operations: Utilize Agentic AI and the Model Context Protocol (MCP) for natural language system administration.
Analytics & Monitoring: Use dashboards to track model usage, performance, and costs.
Who should attend
| Audience type | Roles |
| IT & Business Leadership | IT Decision Makers, Directors, Managers, and Enterprise Architects. |
| Technical Practitioners | AI/ML Engineers, Data Scientists, Data Engineers, App Developers, and IT Ops. |
Know before you go
Practitioners participating in the hands-on lab should possess the following:
- Hardware: A laptop (Windows, MacOS, or Linux) with Chrome or Firefox.
- Prerequisites: Entry-level knowledge of Kubernetes and Linux containers.
AI Knowledge: A general understanding of AI terminology (ML, Deep Learning, Foundation Models). No deep AI experience is required.
Talk to a Red Hatter
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