Mirantis announced the integration of open-source NVIDIA Run:ai with Mirantis k0rdent AI. NVIDIA Run:ai provides AI workload and GPU orchestration within NVIDIA DSX OS, the open, modular software portfolio of the NVIDIA DSX AI Factory Platform.
Building on Mirantis’ integrations with components of NVIDIA DSX OS, the addition of NVIDIA Run:ai gives operators a consistent operational model – from infrastructure provisioning and lifecycle management across clusters to workload and GPU orchestration within them. Together, k0rdent AI and NVIDIA Run:ai help AI Cloud Partners, NVIDIA Cloud Partners, cloud service providers and enterprises maximize GPU utilization and workload throughput while maintaining visibility and control across their AI factory software stack. With NVIDIA Run:ai now open source, Mirantis can integrate it more directly into k0rdent AI, giving operators greater visibility and flexibility from bare metal through workload orchestration.
Available through the k0rdent catalog, the integration streamlines deploying and operating NVIDIA Run:ai across Kubernetes clusters. It automates installation of the Run:ai control plane and its supporting components, while k0rdent AI provides centralized lifecycle management across distributed AI infrastructure. This helps operators maintain consistent software configurations, make updates easier to manage, and troubleshoot issues faster, helping operators keep GPU capacity available for production workloads and get more value from their existing infrastructure.
Together with Mirantis integrations for NVIDIA infrastructure and platform software, including NVIDIA Infra Controller (NICo), NVIDIA GPU Operator, NVIDIA Network Operator and NVIDIA AI Cluster Runtime, the addition of open-source Run:ai helps operators deploy and manage a production-ready AI factory stack, from bare-metal provisioning and network configuration to GPU scheduling and workload orchestration.
The integration helps AI factory operators:
- Maximize production uptime – Standardizes deployment and maintenance to reduce configuration errors and avoidable service disruptions.
- Perform predictable fleet-wide updates – Maintains consistent software versions and configurations across multiple Kubernetes clusters.
- Accelerate recovery – Gives operations teams centralized visibility and a repeatable operating model for identifying and correcting problems.
- Reduce interruptions – Automates TLS certificate issuance and renewal for applicable clusters.
- Preserve infrastructure choice – Allows operators to customize their AI factory stack, including selecting their preferred monitoring technologies.
Mirantis offers two service options designed to further improve AI factory availability:
- OpsCare provides 24×7 support, onboarding, training and guidance for platform maintenance and updates.
- OpsCare Plus provides fully-managed, around-the-clock operations from Mirantis experts.
Mirantis will participate at NVIDIA GTC Berlin, October 20–22.
For more information, visit mirantis.com.
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