Red Hat at Google Cloud Next 2025

Retrieval-augmented generation (RAG) helps align Gen AI apps to customer use cases, but large models can be expensive, and RAG has limitations. We’ll explore how Red Hat AI can provide a better approach with RHEL AI and OpenShift AI: • Fine-tune smaller language models with customer datasets for better accuracy and lower costs • Introduce LAB: Large-Scale Alignment for ChatBots, a novel approach for instruction alignment and fine-tuning • Achieve significant cost reduction with RAG + LAB-tuned small language models We'll demo LAB and discuss real customers who've benefited from this approach with Red Hat AI and OpenShift AI.

Join us to learn about how you can migrate virtual machines and deliver AI-enabled applications with Red Hat OpenShift Dedicated on Google Cloud. In this session, we’ll cover a comprehensive set of AI and virtualization technologies on OpenShift Dedicated including: - OpenShift Virtualization to migrate, manage and deploy VMs alongside containers - Red Hat OpenShift AI and IBM watsonx.ai to build, train, test and deploy AI models in the cloud - Google Cloud’s Vertex AI and virtualization capabilities for bare metal infrastructure.

Automation can help you migrate, coordinate and manage workloads in cloud environments in a simple and effective way, reducing complexity and operational costs. In this session we will cover: - How to increase speed and reduce errors as you migrate to Google Cloud - How Red Hat Ansible Automation Platform simplifies managing your Google Cloud infrastructure - Getting started automating Google Cloud cloud services with certified automation content for migration and management

Join Robert Shaw, Director of Engineering at Red Hat, Woosuk Kwon, Founder of vLLM, and Brittany Rockwell, Product Manager for vLLM on TPU, to learn about how vLLM is helping Google Cloud customers serve state-of-the-art models with high performance and ease of use across TPUs and GPUs.