Managed Kubernetes.
GPU-aware clusters on bare-metal accelerators — without the control-plane tax. We run the plane, patch the nodes, and keep the scheduler GPU-savvy. You ship pods.
Kubernetes, tuned for GPUs.
GPU-aware scheduling
Topology-aware placement that keeps tensor-parallel buddies on the same fabric — and never overcommits VRAM.
Autoscaling by workload
Scale worker pools on queue depth, latency, or custom metrics. Scale to zero when the eval run finishes.
Managed upgrades
Zero-downtime control-plane and node upgrades, applied on your maintenance window with pre-drain checks.
Multi-cluster fleet
One console across regions and clouds. Move workloads between clusters with GitOps-style declarative configs.
Operator catalog
Pre-installed operators for the tools you actually use: training frameworks, inference servers, and monitoring.
RBAC & SSO
Fine-grained roles with your identity provider — SAML, OIDC, or SCIM — wired into every cluster from day one.
From zero to GPU pod in one command.
Create a cluster, set a node pool, and go — the rest is standard Kubernetes you already know.
- lumengrid k8s create — boot a control plane in ~90 seconds
- lumengrid pool add — attach H100 through B300 node pools
- kubectl works as-is; no wrapper required
- Integrated with our Observability and Security platform services
Ready to push the frontier?
Provision bare-metal GPUs in minutes, scale capacity on demand, and get a real engineer on call — not a ticket queue.