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Building the underlying infrastructure for AI high-performance computing presents unique challenges in resource allocation, networking, and security. Mirantis has announced an integration with NVIDIA BlueField Data Processing Units (DPUs) to help organizations build next-generation infrastructure that meets the performance, governance, and agility demands of modern AI workloads. This collaboration positions Mirantis as one of the first design partners to deliver secure multi-tenant networking for AI using NVIDIA BlueField technology.
Mirantis is integrating its k0rdent AI platform with NVIDIA BlueField DPUs.
The solution delivers secure multi-tenant Kubernetes for AI infrastructure.
It provides strict network isolation and enables efficient sharing of GPUs and compute resources.
The integration supports data sovereignty for workloads using confidential or proprietary data.
Mirantis is preparing support for the newly announced, more powerful NVIDIA BlueField-4.
The goal is to automate infrastructure provisioning as a service using repeatable templates.
AI workloads require precision through specialized hardware, tightly-integrated networking, and secure multi-tenancy, all orchestrated efficiently at scale. The integration of Mirantis k0rdent AI, with its declarative, Kubernetes-native capabilities, and the high-performance data processing of NVIDIA BlueField DPUs, is designed to address these exact requirements. It provides a governed, flexible, and cost-effective foundation for AI.
Shaun O’Meara, chief technology officer at Mirantis, explained the value, stating, “AI workloads demand precision through specialized hardware, tightly-integrated networking, secure multi-tenancy, and real-time provisioning. With the integration of Mirantis k0rdent AI and NVIDIA BlueField, we’re delivering multi-tenant Kubernetes with strict isolation at all layers that provides support for complex networking and isolation, while still providing tenants full access to their Kubernetes cluster.”
The joint solution delivers critical capabilities for shared AI environments, including robust multi-tenancy support for data security, strict network isolation at the interface level, the ability to share GPUs and other compute resources, and high-speed access to data storage. This is particularly vital for AI workloads driven by confidential or proprietary data, ensuring data sovereignty.
Mirantis is already preparing for the next generation of hardware, with plans to support the newly announced NVIDIA BlueField-4. This future-proofs the solution, allowing it to leverage the sixfold increase in compute power and doubled network throughput.
The overall approach provides flexible, repeatable patterns for service delivery, enabling infrastructure to be deployed consistently and automatically via templates. This automation of infrastructure provisioning as a service is key to reducing operational complexity and accelerating the deployment of AI resources for enterprises, providing a solid foundation for the AI-driven future.
Mirantis delivers the fastest path to enterprise AI at scale, with full-stack AI infrastructure technology that removes GPU infrastructure complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Today, all infrastructure is AI infrastructure, and Mirantis provides the end-to-end automation, enterprise security and governance, and deep expertise in Kubernetes 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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