Mirantis is enabling enterprises and neocloud providers to deploy production-ready AI platforms in minutes through automated deployment and lifecycle management of NVIDIA Run:ai via the Mirantis k0rdent AI platform. This validated integration closes the gap between GPU infrastructure provisioning and a fully operational AI factory.
Organizations acquiring GPUs often face significant delays moving from infrastructure provisioning to running actual AI workloads. Provisioning GPU nodes is only the beginning — teams must integrate orchestration layers, manage complex operator dependencies, configure networking and resource allocation, and validate the entire environment before executing training or inference jobs.
“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 infrastructure to production AI,” said Omri Geller, vice president and general manager, NVIDIA. “By integrating NVIDIA Run:ai with Mirantis k0rdent AI, customers can automate the deployment of AI factory environments, enabling faster time to value, improved GPU utilization, and more efficient scaling of AI workloads across multi-tenant environments.”
Mirantis k0rdent AI automates the layered assembly process from bare metal through AI workload orchestration. The platform automatically installs, configures, and sequences critical components including:
Ingress and external DNS, cert-manager, NVIDIA GPU Operator, NVIDIA Network Operator, Dynamic Resource Allocation (DRA) Operator, MPI Operator, Training Operator, and NVIDIA Run:ai platform templates.
k0rdent AI manages dependency sequencing, configuration validation, and infrastructure readiness checks, eliminating manual intervention and the need for specialized tribal knowledge.
NVIDIA Run:ai serves as the AI workload and GPU orchestration layer directly above infrastructure. It allows data scientists, ML engineers, and platform operators to submit training jobs, run inference workloads, and launch interactive notebooks via UI, CLI, or API without managing underlying Kubernetes clusters or GPU configurations.
For neocloud providers, the integration enables on-demand AI factory provisioning — spinning up full NVIDIA Run:ai environments when needed and tearing them down when idle to maximize GPU utilization. For enterprises, it delivers consistent, repeatable AI factory deployments across teams, regions, and IT infrastructure.
The solution supports air-gapped deployments, making it suitable for regulated industries and government organizations operating in network-restricted environments. It also provides native support for the latest rack-scale GPU architectures, including NVIDIA Grace Blackwell NVL72 systems via NVIDIA NCX Infra Controller (NICo).
The k0rdent AI and NVIDIA Run:ai integration has been tested and validated through NVIDIA Run:ai’s certification program. Mirantis executed more than 100 functional tests covering workload submission, scheduling behavior, multi-tenant operations, and platform lifecycle management, achieving partner-certified status.
This foundation supports full lifecycle AI factory automation, with future enhancements planned for declarative upgrades, configuration drift management, and expanded day-two operations.
As the AI factory model becomes standard for enterprise private AI and neocloud GPU services, the Mirantis and NVIDIA Run:ai integration accelerates time to production while ensuring infrastructure remains automated, repeatable, and ready to scale.
About Mirantis
Mirantis delivers the fastest path to profitable, scalable GPU cloud infrastructure for neoclouds and enterprise AI factories, with full-stack AI infrastructure technology that removes complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Through k0rdent AI and strategic partnerships, Mirantis enables organizations to transform GPU cloud economics with production-grade multi-tenancy, intelligent workload orchestration, and automated operations that maximize utilization and profitability. With more than 20 years delivering mission-critical open source cloud technologies, Mirantis provides the end-to-end automation, enterprise security and governance, and deep expertise in Kubernetes and GPU orchestration that organizations need to reduce time to market and efficiently scale cloud native, virtualized, and GPU-powered applications across any environment – on-premises, public cloud, hybrid, or edge.
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