Red Hat announced that 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 the company’s 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.
