As enterprises scale AI on Kubernetes, the real bottleneck isn't compute. It's the operational complexity underneath: multi-cluster sprawl, inconsistent governance, and GPU multi-tenancy that most platforms get wrong.
In our latest blog, we break down:
• Why Kubernetes is already the AI substrate for 36% of cloud native developers
• The multi-tenancy trap most GPU platforms fall into
• How to assemble a composable, AI-ready platform without rebuilding your stack every time
Read the full blog: https://t.co/JJPqaZTO5j
💡Want to see how this works in production? Join Martin Stadler, Field CTO for AI Infrastructure, on June 17th for a live webinar on building a Private Enterprise AI Factory on infrastructure you control. https://t.co/NlTLpjCIbK
#EnterpriseAI #Kubernetes #AIInfrastructure #PlatformEngineering #CloudNative
You’re gaining valuable Docker experience as part of your day-to-day work. Now give employers a reason to take notice by putting an official certification behind it.
The Docker Certified Associate (DCA) validates practical Docker skills across containers, networking, security, and orchestration.
• 55-question online exam
• 90-minute remote proctored test
• Instant exam results
• $199 USD
Validate your Docker expertise with a certification that teams and employers recognize.
Get certified: https://t.co/gBaVJ01BIC
Learn more: https://t.co/l6eFy8gOoC
#Docker #DCA #DevOps #CloudNative
CloudCasa is now part of the Mirantis k0rdent catalog, bringing backup and disaster recovery into the same composable, Kubernetes-native workflows used for clusters, observability, and networking.
Resilience as a platform building block. Not a separate silo.
Platform teams can now:
• Standardize protection policies across cluster fleets with a single ServiceTemplate
• Give developers self-service backup and restore, no extra tooling required
• Protect containers and KubeVirt VMs through one unified workflow
• Keep recovery config in Git, governed by the same RBAC model as the rest of the platform
Self-service shouldn't just mean deploy fast. It should mean deploy fast, govern by default, and recover faster.
Read the blog: https://t.co/f0uV1jhd3U
#PlatformEngineering #Kubernetes #KubeVirt #VM #DisasterRecovery #CloudNative #CloudCasa #Mirantis
Your AI initiatives are scaling. Your infrastructure isn't keeping up.
Platform teams are facing significant hurdles as orchestration systems, GPU environments, AI tools, and storage solutions develop in isolation. This independent evolution leads to integration debt, increased overhead, and fragmentation that ultimately hinders the progress of AI initiatives.
There's a better way to build.
Join Martin Stadler, Field CTO for AI Infrastructure, for a live webinar on how to operationalize a Private Enterprise AI Factory on infrastructure you already own and control.
Register now: https://t.co/GEn7bhVatx
#PrivateAI #EnterpriseAI #AIInfrastructure #AIFactory
Operationalizing AI infrastructure is not just about deploying models.
Platform teams also need practical ways to provision and manage AI infrastructure without creating operational sprawl.
This guided demo walks through how teams can provision and manage AI inference and bare metal clusters using centralized cluster management and template-based workflows.
Explore the guided demo: https://t.co/asExXt5hSg
💡 To learn how enterprises are building scalable, production-ready AI platforms on infrastructure they already own and control, join our upcoming webinar, “Private Enterprise AI: Building an AI Factory on Infrastructure You Control” on June 17. https://t.co/ylp98MfqGB
The open standard for AI infrastructure is taking shape and @nvidia agrees.
We are proud to be featured by Jensen Huang at NVIDIA GTC Taipei as part of the DSX AI Factory Ecosystem, in the AI Factory Software layer.
Together with NVIDIA DSX OS, Mirantis k0rdent AI gives cloud providers the full-stack foundation to build and scale AI factories, an open, validated foundation ready for Blackwell, Vera Rubin, and beyond.
Here's what that partnership looks like in practice. https://t.co/lnSHoxsUjl
#NVIDIA #Mirantis #AIInfrastructure #AIFactory
IREN is working with @nvidia to build NVIDIA DSX-aligned AI infrastructure across its global data center portfolio.
• Advancing the Sweetwater campus as part of IREN’s AI infrastructure buildout
• Adopting NVIDIA DSX OS technologies, including NVIDIA Infrastructure Controller and NVIDIA Fleet Intelligence
• Establishing a reference deployment of k0rdent AI with NVIDIA DSX OS and @MirantisIT
• Joining the NVIDIA DSX Sim ecosystem, including simulation with NVIDIA DSX Air
Learn more about NVIDIA DSX: https://t.co/punKoyEuZT
The open standard for AI infrastructure doesn't exist yet. We're building it.
Raw compute is commodifying. Hardware generations are arriving faster than architectures can absorb them. For Neoclouds and NVIDIA Cloud Partners, the real differentiator isn't the GPU anymore. It's the software running it.
That's exactly why Mirantis and @nvidia are collaborating on a validated, open-source foundation for the next generation of AI factories.
NVIDIA DSX OS and Mirantis k0rdent AI gives cloud providers:
• Full-stack automation from bare metal to AI services
• Multi-tenant GPU clouds without vendor lock-in
• A stack that evolves with NVIDIA's roadmap, from Blackwell to Vera Rubin and beyond
And it's not just on paper. @IREN_Ltd is deploying k0rdent AI with DSX OS across thousands of GPUs—a major, real-world reference implementation of open, standards-based AI infrastructure.
Every major tech wave was shaped by open standards proven at scale. We saw it with cloud. We saw it with Kubernetes. AI infrastructure is next.
We're building that standard. And the timing couldn't be better.
Read the full story: https://t.co/cQcF9fmRVY
#NVIDIA #IREN #Mirantis #AIInfrastructure #AIFactory
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://t.co/Ev18VvFQ0Q
💡 We’ll explore this topic further in our upcoming webinar: “Private Enterprise AI: Building an AI Factory on Infrastructure You Control” https://t.co/w8lCChTfxy
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://t.co/jVJ2bUioS6
Learn more: https://t.co/yaaGmZNaIf
#Docker #DCA #DevOps #CloudNative
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://t.co/8vCmmbhgJe
#SovereignAI #CloudSovereignty #DigitalSovereignty #OpenSource #CloudComputing #k0rdentAI #Mirantis
Provisioning is easy. Recovery is what defines operational maturity.
@CloudCasa 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://t.co/6lu18mIKZN
#PlatformEngineering #Kubernetes #KubeVirt #VM #DisasterRecovery #CloudNative #CloudCasa #Mirantis
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://t.co/kPaw44CU1N
Great analysis from Paul Nashawaty at Efficiently Connected, Inc. on what the Mirantis + IREN structure means for the AI infrastructure market.
Nashawaty understands and highlights our independent model's approach to addressing the infrastructure gap: "Mirantis, operating as a standalone subsidiary under IREN, now has a captive deployment environment in which to prove out the full k0rdent AI stack at scale, while continuing to sell to third-party neoclouds and enterprises.
This environment provides a production proving ground, a vital reference implementation that validates the k0rdent AI stack works at massive scale for the industry.
Independent. At scale. Building for the industry.
That's the mission: to democratize AI infrastructure and make it accessible to every enterprise and GPU operator.
Read the entire article here: https://t.co/VqcEh6LeFf
#Mirantis #k0rdent #AIInfrastructure #kubernetes #Iren
Live from booth 414 at #DellTechWorld 🔥 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.