Mirantis US

05/29/2026

AI adoption across the enterprise often starts with individual teams. The challenge begins when AI needs to scale across the organization.

As more business units, developers, and AI workloads rely on shared infrastructure, many organizations are realizing they need more standardized approaches to operations, governance, and resource management.

This blog explores why enterprise AI is pushing organizations toward more centralized and operationally consistent AI platform models.

Read more: https://buff.ly/8ToK8VF

💡 We’ll explore this topic further in our upcoming webinar: “Private Enterprise AI: Building an AI Factory on Infrastructure You Control” https://buff.ly/DSMFVkl

05/29/2026

Employers don’t just want Docker skills. They want verified, production-ready expertise.

The Docker Certified Associate (DCA) is the industry standard for verifying real-world Docker knowledge across containers, networking, security, and orchestration.

Show employers and teams you can work confidently with Docker in production.
• Official Docker certification
• Shareable LinkedIn badge
• Employer-verifiable credential
• Remote exam with instant results

Get certified: https://buff.ly/bbrPZDU
Learn more: https://buff.ly/F4SU4HT

05/29/2026

Sovereign cloud cannot depend on assumed trust between regions.

If one region is compromised, the architecture itself should prevent that compromise from spreading.

In this on-demand session, Martin Stadler, Field CTO for AI Infrastructure at Mirantis walks through trust sharding, built for sovereign Kubernetes environments:
• A central control plane breaks into independent regional trust domains
• Federation is explicit and never assumed
• Identity and policy enforcement are region-scoped
• Child clusters sit within each region's independent trust boundary

Vulnerabilities are guaranteed. The architecture shouldn't be.

Watch the on-demand webinar: https://buff.ly/vAd4hM6

05/29/2026

Provisioning is easy. Recovery is what defines operational maturity.

is now available in the k0rdent catalog, extending self-service beyond provisioning into full lifecycle resilience for KubeVirt-based virtualization workloads.

For platform leaders and enterprise architects, that means:
• Reduced dependency on legacy VM backup tools
• Simplified protection architecture
• Lower operational complexity
• Faster environment recovery
• True Kubernetes-native disaster recovery

Self-service should not just mean deploy fast. It should mean deploy fast and recover faster.

Learn more: https://buff.ly/xLFF8tj

OpenShift Virtualization backup after vSphere migration: protect VMs with app-consistent quiescing, cross-cluster recovery, and Kubernetes metadata.

05/27/2026

Your AI infrastructure is probably growing faster than your operational model. As enterprise AI moves into production, many teams are dealing with fragmented GPU environments, disconnected tooling, and growing platform complexity.

Join Martin Stadler, Field CTO for AI Infrastructure at Mirantis, to learn how enterprises are building Private Enterprise AI factories on infrastructure they already own and control.

We’ll cover how to:
• Reduce AI infrastructure complexity
• Avoid proprietary AI stack lock-in
• Standardize VM, container, and GPU operations
• Build composable, production-ready AI platforms

Register now: https://buff.ly/NBlu0XK

05/20/2026

Live from booth 414 at 🔥 Great conversations all day.

Teams are stopping by to talk about:
• Sovereign AI infrastructure
• GPU utilization and multi-tenancy
• AI inference governance
• Kubernetes-native AI operations
• And the real operational challenges behind running AI at scale

Come see what Mirantis is building for enterprises and GPU cloud operators.

05/20/2026

Edge AI is scaling fast, but most Kubernetes operating models weren’t built for it.

As clusters spread across locations, consistency becomes the real problem.

Without a clear operational model:
• Every cluster becomes slightly different
• Governance becomes harder to enforce
• Complexity grows faster than teams can handle

Join us on May 27 for a live session on what actually works at scale:
• A practical framework for managing multi-cluster Kubernetes at the edge
• How to standardize deployments across distributed environments
• How to scale operations without increasing headcount

If you’re moving beyond a handful of clusters, this is the shift that keeps complexity from getting ahead of you.

Save your spot: https://buff.ly/rXAcGgf

05/19/2026

2026 is LIVE and our booth is already buzzing!

Stop by booth 414 to see how Mirantis is helping teams move from bare metal to AI model faster with k0rdent AI.

Chat with our team, grab some swag, and enter our raffle for a chance to win. 🛹

Looking forward to connecting with you!

05/15/2026

Selling GPUs won’t scale your margins. Real monetization begins when you evolve from raw compute to AI services and eventually to AI factory platforms.

The ultimate goal is simple: stop selling capacity and start delivering outcomes with margins to match.

Watch the on-demand webinar to learn how leading teams are making that shift. https://buff.ly/9N9XL2L

05/15/2026

If you’re running Kubernetes across distributed edge locations, you’ve likely seen this already.

Clusters multiply across regions. Consistency starts to break. And managing everything becomes harder than expected.

Join us on May 27 to see how teams standardize and control multi-cluster Kubernetes at scale.

Save your spot: https://buff.ly/Vfa0IFc

05/15/2026

Dell Technologies World 2026 is days away. If you are heading to Las Vegas, here is what to add to your schedule.

Catch Richard Borenstein on Tuesday, May 19 at 2:30 PM for "From bare metal to AI model: Enterprise AI factory with Dell." Then stop by Mirantis booth #414 for a live demo.

Book a 1:1 with our team and walk away with:
• A clear picture of what Private Enterprise AI looks like for your environment
• A practical path to running AI on infrastructure you own and control
• Expert guidance on closing the gap between your Dell hardware and production AI

Reserve your spot before the show: https://buff.ly/Eh5RNLm