Red Hat at Google Cloud Next 2026

Explore the critical role of Ansible Automation Platform in enabling AIOps for self-healing infrastructure on Google Cloud by integrating issue detection and automated remediation. We will show how the Red Hat Ansible Automation Platform provides the event-driven architecture necessary to centralize and execute rapid, intelligent responses. Learn practical strategies for leveraging event-driven workflows to enhance system resilience, and achieve a truly autonomous operational environment.

"Scaling LLM inference in production is no longer just a hardware challenge. It is a distributed systems challenge. llm-d is a Kubernetes-native, high-performance distributed LLM inference framework built on vLLM. It provides a well-lit path to serve models at scale with fast time-to-value and competitive performance per dollar across GPUs, TPUs, and hybrid environments. This talk introduces llm-d’s architecture, including the Inference Gateway for intelligent routing and latency-aware scheduling, and shares real-world results such as 60k+ tokens per second throughput and up to 3x P90 latency improvements. Scaling LLM inference in production is no longer just a hardware challenge. It is a distributed systems challenge. llm-d is a Kubernetes-native, high-performance distributed LLM inference framework built on vLLM. It provides a well-lit path to serve models at scale with fast time-to-value and competitive performance per dollar across GPUs, TPUs, and hybrid environments. This talk introduces llm-d’s architecture, including the Inference Gateway for intelligent routing and latency-aware scheduling, and shares real-world results such as 60k+ tokens per second throughput and up to 3x P90 latency improvements. If you are running LLMs in production and care about scale, cost, and operational simplicity, llm-d offers a proven foundation.

To overcome the operational roadblocks of scaling enterprise AI, the Red Hat Ansible Certified Content Collection for Google Cloud now includes native support for Vertex AI. Red Hat Ansible Automation Platform replaces this fragmented, manual deployment processes with declarative, version-controlled automation. As a result, IT operations teams can seamlessly collaborate to reliably accelerate the transition of models from the lab to production.

Learn how you migrate and modernize your VMs with a fully managed application platform, Red Hat OpenShift Dedicated on Google Cloud. OpenShift Dedicated provides a comprehensive platform for modernizing VM based workloads with cloud-native technologies, reducing operational complexity while accelerating innovation.

To overcome the operational roadblocks of scaling enterprise AI, the Red Hat Ansible Certified Content Collection for Google Cloud now includes native support for Vertex AI. Red Hat Ansible Automation Platform replaces this fragmented, manual deployment processes with declarative, version-controlled automation. As a result, IT operations teams can seamlessly collaborate to reliably accelerate the transition of models from the lab to production.

Scaling LLM inference in production is no longer just a hardware challenge. It is a distributed systems challenge. llm-d is a Kubernetes-native, high-performance distributed LLM inference framework built on vLLM. It provides a well-lit path to serve models at scale with fast time-to-value and competitive performance per dollar across GPUs, TPUs, and hybrid environments. This talk introduces llm-d’s architecture, including the Inference Gateway for intelligent routing and latency-aware scheduling, and shares real-world results such as 60k+ tokens per second throughput and up to 3x P90 latency improvements. If you are running LLMs in production and care about scale, cost, and operational simplicity, llm-d offers a proven foundation.

Learn how you migrate and modernize your VMs with a fully managed application platform, Red Hat OpenShift Dedicated on Google Cloud. OpenShift Dedicated provides a comprehensive platform for modernizing VM based workloads with cloud-native technologies, reducing operational complexity while accelerating innovation.

Explore the critical role of Ansible Automation Platform in enabling AIOps for self-healing infrastructure on Google Cloud by integrating issue detection and automated remediation. We will show how the Red Hat Ansible Automation Platform provides the event-driven architecture necessary to centralize and execute rapid, intelligent responses. Learn practical strategies for leveraging event-driven workflows to enhance system resilience, and achieve a truly autonomous operational environment.