Red Hat & NVIDIA AI Factory Content Accelerator

The Mission: Industrialize Enterprise AI

Welcome to the Virtual AI Factory w/ NVIDIA Content Accelerator. While we won’t be in Frankfurt, this intensive, distributed hackathon is designed to bridge the gap between theoretical AI product knowledge and industrial-scale, real-world execution.

In a world where AI can quickly generate code and match patterns, it still lacks the "hard knocks" of real-world trial and error. AI does not inherently understand why a specific architecture led to results, or why alternative methods technically work but ultimately fail in production.

That is where you come in. Your true value lies in sharing the lessons learned through failure, iteration, and field experience. Together, we are going to translate your raw expertise into the "field-opinionated" playbooks and technical blueprints required to deliver Red Hat and NVIDIA AI Factory solutions at scale.

The Engine: Open Training & Giveback Incentives

To rapidly capture and distribute your playbooks, we are utilizing the Red Hat Open Training framework as our delivery vehicle. You will build your blueprints using a straightforward "docs-as-code" approach (AsciiDoc and Antora), allowing you to focus purely on technical accuracy while the framework handles the formatting, scaling, and publishing.

Your Impact & Reward: By contributing to this accelerator, you are directly empowering internal associates, partners, and customers to replicate your success. Furthermore, your published blueprints are highly visible and eligible for recognition through the Red Hat Giveback Program (e.g., earning 4 points for new courses and 3 points for updates).

Hackathon Goals & Business Impact

To maintain focus and drive immediate customer value, your hackathon builds will target these core objectives. (Note: Specific tracks and workloads will be finalized and assigned prior to our kickoff on the 15th).

  • Production-Ready Deployments: Develop automated Quickstarts and Playbooks (using OpenShift AI and NVIDIA NIM) that provide the field with a clear, repeatable path to production, accelerating time-to-value.

  • Autonomous Agents: Build enablement around the Llama Stack API and NVIDIA OpenShell runtime to guide teams in transitioning from simple chatbots to highly secure, industrial-scale AI agents.

  • High-Performance Serving: Establish hardware and storage benchmarking standards for NVIDIA-Certified Systems to ensure deployments meet strict AI service level objectives and reduce TCO.

  • Security & Regulatory Compliance: Integrate STIG-hardened containers, RHEL, and NVIDIA BlueField DPUs to deliver a zero-trust architecture for mission-critical, regulated industries.

  • AI-First Delivery & Enablement: Apply an AI-first delivery approach using "skills" to automate framework delivery, shifting from traditional manual consulting to scalable, AI-assisted field operations for Specialists, Consultants, and Partners.

The Definition of "Done"

By the end of this hackathon, a successful blueprint submission will include: . A completed, AI-assisted Course Design Document (CDD) mapping out your technical concepts to actionable tasks. . A working hands-on lab environment scenario (targeting the dual H100 baseline—either a step-by-step How-To or a troubleshooting Break-Fix). . An Antora-compliant GitHub repository containing your structured AsciiDoc pages and navigation map.

Next Steps

Ready to start building? We have streamlined the toolchain so you can bypass the formatting hurdles and get straight to the code.

  • Step 1: Head over to the AI-Assisted Design Phase to put together and generate your course outline from your raw notes and references.

  • Step 2: Review the Formatting Cheat Sheet to understand how to structure your repository and add formatting flavor to your content.

  • Step 3: Start coding your playbook!