Feature deep dives, demos and unveiling Red Hat AI 3.6
Agents are easy to prototype and hard to put into production. As they multiply, so does the surface you have to secure, govern, and pay for. Red Hat AI lets you build, govern, and scale enterprise AI with confidence.
Join us for a three-hour virtual event to see how Red Hat AI 3.6 helps organizations move AI into production and keep it governed across the hybrid cloud, from securely running AI agents and delivering models as a shared service to managing AI safety, security, and infrastructure at scale.
Register once for full access to every session, live on November 5 or on demand whenever it works for you.
What you'll learn about:
- Moving experimental agents into production as safe, auditable workloads using built-in sandboxing, runtime guardrails, access controls and the Model Context Protocol (MCP) tooling ecosystem.
- Delivering models as a governed internal service with per-tenant isolation, quotas, and token metering so every team consumes AI on shared infrastructure with full accountability.
- Identifying AI risks before deployment using automated safety and security evaluations.
- Accelerating the path to production AI with co-engineered solutions like the Red Hat AI Factory with NVIDIA.
- Speeding up adoption, upskilling teams and building operational resilience through expert Red Hat Consulting and Training.
Join Red Hat AI experts for practical guidance, live demos, strategy, and a closer look at how to operationalize enterprise AI with confidence.
Sessions
| Start Time - End Time | Session Title | Session Description |
| 11:00 AM - 11:30 AM | Red Hat AI: the new, the vision, the strategy | Red Hat AI 3.6 is here to power scale AI agents. Join us to explore what ships in this release, including secure agent execution, the AI gateway, and the latest on AI safety and security. Discover how our strategy empowers you to deploy, scale, and govern production agents across the hybrid cloud. |
| 11:30 AM - 12:00 PM | Governing Models at Scale with Red Hat AI | Most enterprises now run a mix of self-hosted models and external APIs, and paying for both efficiently is hard. Red Hat AI 3.6 unifies them with per-tenant isolation, quotas, token metering, and observability. Join us to see how to deliver AI at scale with full accountability. |
| 12:00 PM - 12:30 PM | Scaling Autonomous Agents Securely with Red Hat AI | Autonomous AI agents boost productivity but carry security and compliance risks. Red Hat AI 3.6 turns experimental agents into safe, auditable, enterprise-ready production workloads with built-in sandboxing and governance. Join us to explore these new agentic capabilities and see a live demo. |
| 12:30 PM - 1:00 PM | AI Safety and Governance for your workloads in Red Hat AI | Red Hat AI 3.6 introduces new capabilities to evaluate, secure, and govern AI workloads. Explore how automated safety and security evaluations identify risks before deployment, while integrated insights, runtime guardrails, and granular access controls help keep AI secure in production. |
| 1:00 PM - 1:30 PM | Delivering Agents at Scale with Red Hat AI and NVIDIA | One enterprise put agents in the hands of thousands of employees, securely and observably. Red Hat and NVIDIA walk through the isolation, governance, and oversight in Red Hat AI 3.6 that made it possible. |
| 1:30 PM - 2:00 PM | Putting theory into practice: Accelerate AI adoption with Consulting and Training | Bridge the gap between strategy and execution by leveraging Red Hat Consulting and Training to speed up AI integration. This session highlights best practices for securely onboarding AI models and autonomous agents, upskilling AI teams, and building operational resilience. |
Partner
Speakers
Joe Fernandez
Vice President & GM, AI Business Unit, Red Hat
Red Hat AI: the new, the vision, the strategy
Steven Huels
Vice President, AI Engineering, Red Hat
Red Hat AI: the new, the vision, the strategy
Will McGrath
Senior Principal Product Marketing Manager, Red Hat
Governing Models at Scale with Red Hat AI
James Harmison
Senior Principal Technical Marketing Manager, AI, Red Hat
Governing Models at Scale with Red Hat AI
Younes Ben Brahim
Principal Product Marketing Manager, Red Hat
Scaling Autonomous Agents Safely with Red Hat AI
Adel Zaalouk
Senior Principal Product Manager - Technical, Red Hat
Scaling Autonomous Agents Safely with Red Hat AI
Roberto Carratala
Principal AI Platform Architect, Red Hat
Scaling Autonomous Agents Safely with Red Hat AI
Martin Isaksson
Principal AI Business Development Specialist, Red Hat
AI Safety and Governance for your workloads in Red Hat AI
Adam Bellusci
Senior Principal Product Manager - OpenShift AI, Red Hat
AI Safety and Governance for your workloads in Red Hat AI
William Caban
Senior Principal Product Manager - Generative AI, Red Hat
AI Safety and Governance for your workloads in Red Hat AI
Ryan King
Vice President, Global Ecosystem Leader of AI and Infrastructure, Red Hat
Delivering Agents at Scale with Red Hat AI and NVIDIA
Vijay Chebolu
Senior Director, Global Services AI Platform, Red Hat
Putting theory into practice: Accelerate AI adoption with Consulting and Training
John Hurlocker
Senior Principal Architect, Red Hat
Putting theory into practice: Accelerate AI adoption with Consulting and Training
Hunter Gerlach
Senior Principal Architect, Red Hat
Putting theory into practice: Accelerate AI adoption with Consulting and Training