Simplifying AI Infrastructure: How Mirantis Accelerates Time-to-Value with NVIDIA and Dell

The AI Opportunity and Why We’re Here to Help

AI promises extraordinary business outcomes. But for many enterprise leaders, the journey is harder than expected: studies show that three out of four AI projects never make it into production. If that feels familiar, you’re not alone. Enterprises have been investing in technology for decades, and too often, the promised outcomes haven’t matched reality.

The truth is, AI infrastructure isn’t just another IT project, it’s a whole new ballgame. Traditional infrastructure challenges were tough enough, but AI introduces complexities at an entirely new level. Unlike the cloud-native shift that abstracted infrastructure and simplified deployments, AI workloads require much tighter coordination between hardware and software. That’s where many organizations hit unexpected roadblocks.

Real-World Challenges and Where We Come In

Even with access to NVIDIA GPUs, operationalizing them can be the real hurdle. One enterprise we worked with installed AI infrastructure that took up just 20% of their data center’s floor space, but demanded 100% of its power capacity. AI workloads often push traditional resource planning to the breaking point.

And it doesn’t stop there. Running AI at scale means juggling multiple network fabrics (data, WAN, PCI, RDMA), coordinating CPUs and GPUs, optimizing storage, and streamlining data pipelines, all at once.

Many organizations lack the specialized expertise needed to operationalize and maximize utilization of scarce, expensive GPU resources. Most concerning, they can't quickly develop the operational knowledge required to manage AI workloads that demand both performance optimization and strategic resource allocation across distributed environments.

These aren’t incremental challenges. They represent a step-change in complexity, and that’s exactly why we exist. Our mission at Mirantis is to help enterprises cut through the noise, tame the hidden complexity, and unlock the full value of their AI investments. We’ve been there, we’ve seen the pitfalls, and we know how to guide you to outcomes that stick. We are here to help.

Breaking Free from Infrastructure Constraints

Mirantis introduces a composable architecture designed specifically for AI workloads: Mirantis k0rdent AI is the industry's first infrastructure solution that sits atop existing environments whether Red Hat, VMware, or Nutanix, while providing genuine AI readiness. Instead of another vendor demanding you ‘rip and replace’ in order to adopt another monolithic architecture, our approach breaks organizations free from current infrastructure limitations without requiring complete technology replacement. Rather than forcing enterprises to learn yet another proprietary system, Mirantis creates a pathway from existing investments to AI capability through what we call Metal-to-Model™ deployment, operationalizing AI infrastructure from hardware to production models in days, not months.

The composable nature means organizations maintain flexibility and control while gaining immediate access to AI infrastructure expertise. Unlike monolithic solutions that create new forms of vendor lock-in, this architecture includes built-in exit strategies, allowing deprecation whenever business needs change.

Strategic Partnership Advantage

Mirantis leverages deep partnerships with Dell Technologies and NVIDIA to streamline AI infrastructure deployment. Mirantis is an inaugural NVIDIA AI Cloud-Ready ISV partner, and k0rdent AI is validated for turnkey deployment on NVIDIA-certified Dell PowerEdge GPU servers. This validated integration provides enterprises with proven, integrated solutions rather than forcing them to become AI infrastructure experts internally.

Dell brings world-class AI-centric hardware platforms optimized for enterprise deployment. NVIDIA contributes the industry's leading AI computing capabilities and software stack. Mirantis provides the composable orchestration layer and operational expertise gained from over a decade of enterprise-scale cloud deployments.

Together, these partnerships enable rapid GPU time-to-value realization while simplifying consumption of complex NVIDIA technologies. Organizations can focus on business outcomes rather than infrastructure complexity.

Proven Results and Differentiation

As cloud pioneers who built some of the world's largest private cloud deployments, Mirantis applies hard-earned operational knowledge to AI infrastructure challenges. This experience working with Fortune 500 enterprises across multiple technology cycles provides unique insight into enterprise AI requirements.

The solution delivers measurable outcomes: enterprises can operationalize GPUs the same day hardware arrives, convert idle GPU capacity into revenue-generating services, and eliminate operational bottlenecks through comprehensive professional services support.

Most importantly, organizations gain the flexibility to start their AI journey immediately while maintaining the ability to evolve their approach as requirements change.

Mirantis brings world-class AI expertise to every stage of your journey, helping you shape strategy, architect and build, launch with confidence, and continuously operate and adapt. Whether you need end-to-end ownership or targeted support, our teams seamlessly augment yours to ensure lasting success.

The Path Forward

Enterprise AI success requires more than technology, it demands operational expertise, proven partnerships, and flexible architecture that adapts to changing business needs. Mirantis, Dell, and NVIDIA provide this integrated foundation, enabling confident entry into the AI era.

Contact Mirantis today for a tailored assessment of your AI infrastructure requirements and discover how to accelerate your time-to-value while maintaining strategic flexibility.