Lepton AI
Build and deploy high-performance AI applications at scale with zero infrastructure management.

Run Kubernetes locally with a single command to streamline containerized application development.
minikube is the industry-standard tool for implementing a local Kubernetes environment, operating as a sigs.k8s.io project. In the 2026 landscape, it remains the foundational utility for developers transitioning from monolithic architectures to microservices. Technically, minikube creates a single-node or multi-node Kubernetes cluster inside a virtual machine (VM), container (Docker/Podman), or directly on bare metal. It supports a wide array of drivers including VirtualBox, KVM, Hyper-V, and Docker, ensuring cross-platform compatibility across Linux, macOS, and Windows. By providing a sandbox that mirrors production Kubernetes environments, minikube enables high-fidelity testing of YAML manifests, Helm charts, and Operator patterns without the latency or costs associated with cloud-managed services like EKS or GKE. Its architecture includes a robust add-on system for enabling features like Ingress, MetalLB, and the Kubernetes Dashboard with a single toggle. As AI-driven dev-environments become standard in 2026, minikube's role has expanded to include specialized GPU-passthrough capabilities for local LLM orchestration and vector database testing, making it indispensable for modern AI-native infrastructure development.
Ability to spin up multiple nodes within the local environment to test pod affinity and anti-affinity rules.
Build and deploy high-performance AI applications at scale with zero infrastructure management.
The fastest polyglot Git hooks manager for high-performance engineering teams.
The version-controlled prompt registry for professional LLM orchestration.
Template-free Kubernetes configuration management for declarative application customization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Leverages NVIDIA Docker runtime or hardware passthrough to expose local GPUs to the cluster.
A built-in system to deploy complex K8s components like Istio, Knative, or Metrics Server with one command.
Supports diverse backends (Docker, Podman, KVM2, VirtualBox, Hyper-V, VMware).
Directly mount host directories into minikube nodes for real-time code updates in containers.
Uses 'minikube tunnel' to provide a real IP address to services of type LoadBalancer.
Allows developers to choose the container runtime to match their production environment exactly.
Developers need to run 10+ services locally without the cost of a cloud sandbox.
Registry Updated:2/7/2026
Ensuring Kubernetes manifests are valid before pushing to production branches.
Testing K8s-based AI inference engines with GPU acceleration locally.