Mirantis US

Mirantis US Mirantis is the Managed Open Cloud Company. We build and manage open cloud infrastructure with no vendor lock-in.

Mirantis helps organizations ship code faster on public and private clouds. The company provides a public cloud experience on any infrastructure to the data center to the edge. With Lens and Docker Enterprise Container Cloud, Mirantis empowers a new breed of Kubernetes developers by removing infrastructure and operations complexity and providing one cohesive cloud experience for complete app and d

evops portability, a single pane of glass, and automated full-stack lifecycle management with continuous updates.

AI infrastructure decisions outlast any single GPU vendor or Kubernetes distribution.The Mirantis AI Factory Reference A...
09/01/2026

AI infrastructure decisions outlast any single GPU vendor or Kubernetes distribution.

The Mirantis AI Factory Reference Architecture maps certified NVIDIA GPU Operator support, AMD and Intel integrations, and certified container runtimes across one five-layer stack, built to keep working as your stack evolves.

Map your AI factory on open standards. Get the blueprint: https://buff.ly/vbxRjJy

We are excited to announce that Mirantis k0rdent AI has been validated in the NVIDIA-Certified Hypervisors program.The k...
08/27/2026

We are excited to announce that Mirantis k0rdent AI has been validated in the NVIDIA-Certified Hypervisors program.

The k0rdent AI virtualization stack has been certified through the NVIDIA-Certified Hypervisors program on the NVIDIA GB200 NVL72 validation track. GPU virtualization can help reduce the traditional performance trade-off.

What you get:
• Predictable, near bare metal performance
• GPU allocation matched to each workload, full node or sub-node
• Strong tenant isolation with the VM as the tenancy boundary
• One control plane for VMs and containers

Learn more about running virtualized GPU workloads on k0rdent AI. https://buff.ly/aV6fYV6

Enterprises rarely lose the AI race on the model. They lose it waiting for infrastructure to be ready.Mirantis k0rdent A...
08/26/2026

Enterprises rarely lose the AI race on the model. They lose it waiting for infrastructure to be ready.

Mirantis k0rdent AI automates the complete GPU lifecycle, from bare-metal discovery and driver deployment to NVIDIA MIG and vGPU partitioning, so new AI products reach market on declarative templates instead of manual setup.

Centralized policy and hard multi-tenancy keep every team safely isolated on shared hardware, all from one control plane.

See how k0rdent AI automates the complete GPU lifecycle. https://buff.ly/opqiWyV

One day left! 🔥 Most multi-tenant AI infrastructure asks you to trust that tenants are isolated. On August 25, Shaun O'M...
08/24/2026

One day left! 🔥 Most multi-tenant AI infrastructure asks you to trust that tenants are isolated.

On August 25, Shaun O'Meara, CTO at Mirantis, and Brad Burres, Senior Distinguished Engineer at NVIDIA, show what it takes to prove it, enforced in hardware across compute, network, and storage.

If you're building for a neocloud or a regulated enterprise, this is your last chance to join live. https://buff.ly/1ThTZNQ

08/20/2026

Everyone's racing to reinvent the stack for AI. Our CEO's take: you don't have to.

AI doesn't change the fundamentals of compute. You still need IaaS. You still need Kubernetes. What changed is that the layer everyone abandoned when they ran to the hyperscalers is suddenly the one that matters most.

Mirantis never abandoned it. We kept the OpenStack business and kept building IaaS while it was unfashionable, which is exactly why NVIDIA is close to us now.

In this clip, Alex Freedland, CEO & Co-founder of Mirantis, explains why the AI era rewards the companies that understood infrastructure all along.

Watch the full interview: https://buff.ly/amRN6Y4

In regulated industries, isolation you cannot prove is isolation you cannot rely on.Software overlays and trust-based co...
08/19/2026

In regulated industries, isolation you cannot prove is isolation you cannot rely on.

Software overlays and trust-based controls leave you exposed to noisy neighbors and cross-tenant data leakage, with guarantees you cannot demonstrate to a risk team.

Hardware-enforced isolation closes that gap by grounding tenant boundaries in the hardware itself, across compute, network, and storage.

Shaun O'Meara, CTO at Mirantis, and Brad Burres, Senior Distinguished Engineer at NVIDIA, walk through how hard compute boundaries, BlueField DPU network segregation, per-tenant storage safety, and hardware sanitization when a tenant leaves come together as demonstrable, repeatable isolation.

Save your seat for August 25: https://buff.ly/PE2FaWg

Your quick cloud-native AI catch-up is here! Dive into top cloud-native AI trends and updates in just 2 minutes. ☁️☕️Enj...
08/19/2026

Your quick cloud-native AI catch-up is here! Dive into top cloud-native AI trends and updates in just 2 minutes. ☁️☕️

Enjoy! https://buff.ly/fQWj0WR

If a Kubernetes namespace is not a hard security boundary, what is holding your tenants apart?On shared AI infrastructur...
08/18/2026

If a Kubernetes namespace is not a hard security boundary, what is holding your tenants apart?

On shared AI infrastructure with many tenants, trust-based software controls leave you with isolation you cannot prove.

On Aug 25, Shaun O'Meara, CTO at Mirantis, and Brad Burres, Senior Distinguished Engineer at NVIDIA, take a technical look at multi-tenancy enforced in hardware, and how k0rdent AI orchestrates NVIDIA's isolation primitives into one coherent architecture.

Save your seat: https://buff.ly/ltwrjhA

NVIDIA Run:ai is now integrated and certified with Mirantis k0rdent AI. What used to take experienced engineers days or ...
08/17/2026

NVIDIA Run:ai is now integrated and certified with Mirantis k0rdent AI. What used to take experienced engineers days or weeks now takes minutes.

Turning provisioned GPU infrastructure into a running AI factory means integrating orchestration layers, sequencing operator dependencies, configuring networking, and validating the whole stack. k0rdent AI automates all of it.

Operators spin up a full NVIDIA Run:ai environment on demand, then reallocate that capacity to the next workload when the job is done — while k0rdent AI handles the sequencing, validation, and readiness checks.

It also supports air-gapped deployments, so regulated and sovereign environments get the same repeatable automation with no external dependencies.

Read how it works: https://buff.ly/LJAFTkE

Can you actually prove that one tenant can't reach another tenant's data on your shared AI infrastructure?Most multi-ten...
08/14/2026

Can you actually prove that one tenant can't reach another tenant's data on your shared AI infrastructure?

Most multi-tenant AI setups lean on software overlays and trust-based controls. That leaves the door open to noisy neighbors, cross-tenant data leakage, and isolation you can't demonstrate.

On Aug 25, Shaun O'Meara, CTO at Mirantis, and Brad Burres, Senior Distinguished Engineer at NVIDIA, get into hardware-enforced multi-tenancy for bare-metal AI infrastructure, and why grounding isolation in hardware changes the guarantees you can make.

Save your seat: https://buff.ly/iPwnwLv

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95008

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Thursday 9am - 5pm
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