Hello Red Hat Enthusiasts
Just a few days ago, Gov. Newsom’s signing of a “one of a kind” executive order shows continued momentum behind California’s use of generative AI in government services, including work on tools that help residents navigate programs and benefits, while adding stronger expectations for oversight and accountability. In practical terms, California is signaling that successful AI adoption will depend not just on models, but on the underlying platform, governance, and operational discipline required to run AI responsibly at scale. As you guessed it, that’s where Red Hat comes in. Read on for the latest on Red Hat AI and some tools to get you started.
Where Can I Deploy My AI Workloads?
Enterprise AI is all about integrating AI and machine learning into large scale business operations. We’re talking about putting capabilities that can work across teams, apps, and environments. This equals a complete package. It goes without saying that enterprises are leaning on both generative AI and predictive AI to improve efficiency and tackle complex problems faster. For the State of CA, you can see that a number of agencies have been working on AI integration to help user experience. List of AI Projects
A key concept is inference. There’s no AI without inference, and when larger models are involved, the supporting hardware/software (and inference servers) can make or break the strategy. Enterprises are looking for approaches like distributed inference and tooling such as vLLM to help use compute resources more efficiently at scale.
Enterprise AI at a Glance
| Feature | Details | Benefit |
| Customize models with control | Training Hub interface allows use of private data and offers continual and reinforcement learning. | Build, fine-tune, and manage workflows for generative, predictive, and agentic AI applications. |
| Manage the end-to-end model lifecycle | Build with familiar tools and frameworks on a single, centralized platform with a Kubernetes core. | Reduce complexity and increase efficiency from development to deployment. |
| Scale without complexity | Meet the demands of foundational models and generative AI by deploying them with vLLM and llm-d. | High throughput, low-latency model serving with intelligent scaling. |
| Access a centralized catalog and registry | Experiment with validated and optimized models, Model Context Protocol (MCP) servers, and AI agents. | Simplify discovery and explore options to find what works best for your use case. |
| Implement AI guardrails | Monitor models with performance tracking, as well as data and concept drift detection. | Keep models and outputs fair, transparent, and reliable in real-world deployments. |
| Optimize resource allocation | Run models across different GPU platforms and hybrid cloud environments. | Reduce operational cost with efficient GPU usage and faster deployments. |
For a more in-depth read on Enterprise AI check out this LINK or let me know and I’ll be happy to set up some time to discuss in detail.
AI Quick Starts for Learning and Testing
Red Hat AI Quick Starts are prebuilt, hands-on AI solution patterns that help organizations rapidly explore practical use cases on Red Hat AI, from RAG chatbots to virtual agents, while learning the platform components needed to operationalize AI in the enterprise. You can find the catalog of use case solutions HERE.
Useful Links to Continue Your AI Research
Top considerations for building a production-ready AI environment (this is the e-book I’m referencing in this newsletter)
Red Hat’s CTO sees AI as next step for company’s open approach
AI quickstarts: An easy and practical way to get started with Red Hat AI
Red Hat, Team Guidehouse named winner in Mission Daybreak challenge to reduce Veteran suicides
Unlock Generative AI innovation with Red Hat Enterprise Linux AI
SIGN UP TODAY! The Ansible Island Adventure is April 28th
Join Red Hat’s thrilling Red Hat® Ansible® Island adventure! Unlock challenges through a series of engaging tasks to escape the island and the chance to win a prize. Think you can win the grand prize?
Whether you’re new to Ansible or a pro, instructions and adventures await to guide and inspire you. Seats are limited so save your seat now to let your knowledge shine in this friendly adventure game tailored to ignite your passion to challenge your knowledge and skills.
Event Details:
Date: April 28, 2026
Time: 1:30-4:30 PM PT
Location: Urban Roots Brewing & Smokehouse, 1322 V St. Sacramento, CA 95818
Upcoming Events:
- Ansible Automates Virtual April 8, 2026
- Red Hat Enterprise Linux in the cloud April 8, 2026
- Simplifying Windows Lifecycle and Compliance with Red Hat Ansible April 14, 2026
- Introduction to the Shift: Why Traditional App Architectures Are Breaking in the AI Era April 14, 2026
- Automate security. Align ITOps. April 16, 2026
- Unified Workload Migration: Moving VMs and Containers to OpenShift with OpenShift Virtualization April 22, 2026
- Red Hat Platform Engineering roadshow: A hands-on workshop April 22, 2026
- Red Hat Learning Subscription Think Tank April 2026 April 28, 2026
- Ansible Network Automation Workshop April 29, 2026
Red Hat Training
LINK to classes by Red Hat
LINK to classes by edX
Please feel free to reach out to me with any questions you might have on the content or anything else that might help you with your Red Hat solutions.
