Mirantis k0rdent Achieves NVIDIA-Certified Hypervisor Status to Power High-Performance GPU Virtualization

Yahoo Finance ·

On August 27, 2026, Mirantis announced that its k0rdent AI infrastructure platform has successfully joined the NVIDIA-Certified Hypervisors program, validating its capability to deliver near bare-metal performance for enterprise AI factories and cloud service providers. Through comprehensive benchmarking across NVIDIA GB200 NVL72 and NVIDIA HGX platforms, k0rdent achieved performance within 5 percent of native bare-metal deployments while ensuring robust tenant isolation and flexibility. The platform features a topology-aware scheduler that optimizes workload placement across NVLink, NUMA domains, and InfiniBand or RoCE networking, preventing traditional performance bottlenecks. By integrating virtual machines and Kubernetes workloads into a single unified control plane, k0rdent simplifies operations for organizations deploying advanced AI training and inference at scale.

AI 시장 분석

Mirantis' k0rdent AI has achieved NVIDIA-Certified Hypervisors program certification, proving 95% bare-metal level performance in enterprise AI factory environments. This certification enhances GPU virtualization efficiency in GB200 NVL72 and HGX-based tracks, reducing infrastructure engineering costs for enterprises. Investors should pay attention to the acceleration of related software and hardware ecosystems driven by the expansion of high-performance AI infrastructure.

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DYAX 전담 분석

As Mirantis' k0rdent AI obtained NVIDIA certification, enterprises can now implement high-performance GPU virtualization within a 5% performance margin compared to bare-metal on NVIDIA GB200 NVL72 and HGX systems. This acts as a factor that directly reduces infrastructure deployment costs by maximizing GPU resource allocation efficiency in multi-tenant AI factory environments.

The bullish scenario is a surge in related demand driven by accelerated AI infrastructure adoption by large corporations and cloud providers, while the bearish scenario is delayed adoption due to corporate IT budget tightening. Key monitoring indicators are the adoption rate of NVIDIA-based AI virtualization solutions and the scale of infrastructure investment by cloud service providers.

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