By Joseph Eckert for Mirantis
Publication Date: 2026-04-15 16:00:00
CAMPBELL, Calif.–(BUSINESS WIRE)–Mirantis, delivering Kubernetes-native infrastructure for AI, today announced the company is enabling enterprises and neocloud providers to deploy production-ready AI platforms in minutes, not weeks which is achieved by automated deployment and lifecycle management of NVIDIA Run:ai through the Mirantis k0rdent AI platform. The integration closes the gap between GPU infrastructure provisioning and a fully operational AI factory.
As organizations race to build private AI factories, many discover that the journey from acquiring and provisioning AI infrastructure to deploying and operating it at factory scale represents a meaningful next phase of adoption. Provisioning GPU nodes is only the first step, teams must then integrate orchestration layers, sequence complex operator dependencies, configure networking and resource allocation, and validate all of the infrastructure before running a single training or inference job.
“Enterprises don’t struggle to purchase GPUs — they struggle to operationalize them,” said Richard Borenstein, senior vice president of business development, Mirantis. “By automating the deployment of NVIDIA Run:ai as part of a full-stack AI factory platform, k0rdent AI enables organizations to move from infrastructure delivery to workload execution in a fraction of the time, with repeatable, production-grade outcomes.”
“Enterprises and cloud providers are looking for ways to accelerate the path from…
