Achieve more with Red Hat OpenShift 4.21

Achieve more with Red Hat OpenShift 4.21 AI Streamline AI workloads with Red Hat build of Kueue v1.2 Manage distributed workloads with JobSet Match workloads to GPU hardware with precision and flexibility Core Right-Sizing in hosted control planes Autoscale from/to zero on hosted control planes Run OpenShift on VMware Cloud Foundation 9 Bring OpenShift to your Oracle Database Appliance Deploy zero-trust workloads in Microsoft Azure and Microsoft Azure Red Hat OpenShift with Confidential Containers Virtualization Migrate virtual machines across clusters with zero downtime IPv6-only control plane and secondary network support OpenShift Virtualization on Google Cloud Configure virtual networks with enhanced Virtualization UI Troubleshoot VMs with Red Hat OpenShift Lightspeed Try Red Hat OpenShift 4.21 today Red Hat OpenShift Container Platform | Product Trial About the authors Duncan Hardie Ju Lim More like this Shadow-Soft shares top challenges holding organizations back from virtualization modernization Improving VirtOps: Manage, migrate or modernize with Red Hat and Cisco Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Red Hat OpenShift 4.21, based on Kubernetes 1.34 and CRI-O 1.34 , is now generally available. Together with Red Hat OpenShift Platform Plus , this release demonstrates our continued commitment to delivering the trusted, comprehensive, and consistent application platform that enterprises rely on for production workloads across the hybrid cloud without compromising on security. This release emphasizes running AI training jobs, containerized microservices, and virtualized applications on the same infrastructure with the same operational model. With OpenShift 4.21, you can simultaneously modernize existing IT infrastructure and accelerate AI innovation on a single, cost-efficient platform that scales automatically based on real-time business demand. Imagine a large financial institution that needs to maintain legacy virtual machines (VMs) for core banking while also training new AI models for fraud detection. Previously, these two worlds lived in different systems, creating "silos" and wasted costs. But with OpenShift 4.21, this firm can run both on the same infrastructure. Using the new Dynamic Resource Allocation (DRA) operator, they can even prioritize high-end GPUs for AI training during the day, but automatically shift those resources or scale them to zero at night to save money. Additionally, they can move active VMs between data centers with zero downtime, helping to ensure banking services stay online even during hardware maintenance. Whether you deploy OpenShift as a self-managed platform, or consume it as a fully managed cloud service, you get a complete set of integrated tools and services for cloud-native, AI, virtual and traditional workloads alike. This blog covers key innovations in OpenShift 4.21 across AI, core platform capabilities, and virtualization. For complete details, see the OpenShift 4.21 release notes.