Modern organizations struggle to architect platforms for advanced workloads across distributed environments, with MLOps and AI hosting demanding mastery of novel architectures, GPUs, TPUs, FPGAs, and their software stacks, plus cloud-to-edge optimization. Platform engineering teams bear the load amid shifts like Kubernetes as the standard abstraction between workloads and infrastructure. Mirantis software streamlines this by automating GPU provisioning, multi-cluster Kubernetes management, and AI infrastructure from metal-to-model, enabling rapid deployment, cost reduction, compliance, and scalable MLOps—accelerating time-to-production and monetizing investments efficiently.

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