Mirantis' k0rdent platform automates provisioning of GPU‑optimized, multi‑tenant environments on bare‑metal and Kubernetes, delivering on‑demand AI infrastructure in seconds. It includes a self‑service marketplace, DPU‑based isolation, and a GitOps‑driven control plane for managing hybrid and multi‑cloud clusters, enabling enterprises and service providers to scale AI workloads and monetize idle GPU capacity.
Funding
$20M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HTFounders
Product
Problem
Enterprises and service providers often face lengthy, manual processes to provision GPU‑optimized, multi‑tenant environments for AI workloads, leading to delayed model deployment and underutilized hardware. Managing Kubernetes clusters across on‑premises, hybrid, and multi‑cloud locations adds operational complexity and hampers consistent security and compliance enforcement.
Solution
Mirantis offers the k0rdent platform to automate the full lifecycle of AI infrastructure—from bare‑metal provisioning to Kubernetes‑based training and inference services. The solution delivers a “GPU Cloud‑in‑a‑Box” that can spin up multi‑tenant, GPU‑accelerated environments within minutes, with built‑in DPU‑enabled networking for isolation and performance. A self‑service marketplace lets internal teams or external customers consume GPU capacity on demand, while idle resources can be packaged as billable services to generate revenue. For broader Kubernetes management, k0rdent Enterprise provides declarative, GitOps‑driven control planes that reconcile configurations across data centers, public clouds, and edge sites, simplifying multi‑cluster scaling and governance.
Target Audience
Primary customers are enterprise AI/ML teams, cloud service providers, and data‑center operators that need fast, secure provisioning of GPU‑intensive workloads and centralized management of hybrid Kubernetes fleets.
Features
- Template‑driven orchestration that provisions bare‑metal servers, configures NVIDIA GPUs, and installs Kubernetes clusters in under 30 seconds
- Multi‑tenant networking powered by NVIDIA BlueField DPUs, delivering hardware‑level isolation and high‑throughput data paths for AI workloads
- Self‑service marketplace with role‑based access control, enabling users to request GPU resources and AI services on demand
- Idle‑GPU monetization layer that packages unused capacity into consumable services with usage‑based billing APIs
- Declarative GitOps engine that continuously reconciles cluster state, applies policy bundles, and prevents configuration drift across hybrid and multi‑cloud environments
- Secure software supply chain features including private container registries, image signing, and RBAC‑enforced workload authentication
- Unified control plane capable of managing thousands of clusters from a single dashboard, with automated scaling and edge‑node onboarding
- Open‑source composable catalog of pre‑built AI/ML components and integrations, allowing rapid assembly of custom developer platforms