BUZZ HPC’s Managed Kubernetes gives you a private, GPU-powered cluster that’s ready in minutes, not months. We build your Kubernetes cluster using images containing the latest drivers / software, and hand you the keys. You keep full kubectl control; we keep the lights on.
Single-tenant GPU clusters pre-loaded with CUDA and the NVIDIA software. One highly-available control-plane VM; GPU worker nodes on bare metal.
Vanilla Kubernetes scheduler with GPU resource awareness. Pods land on nodes with the right GPUs; no topology tuning required at launch.
Resize the cluster via our cloud console or API call. Add or remove GPU nodes in minutes.
Easily monitor your workloads via built-in dashboards and logging
Isolated VPC, RBAC enabled. SSO federation available.
9 × 5 engineer-to-engineer support with 24 × 7 hardware paging. Real people who know GPUs and Kubernetes.
Performance-first GPU hardware, zero undifferentiated DevOps toil, and honest, engineer-level support. We start lean so you can ship faster, and we’ll grow the feature set as your needs mature.

Hand your data-science org a production-grade cluster without hiring a Kubernetes SRE crew.
Spin up a fleet of H100 nodes for a two-week training sprint, then shrink back to one dev node.
Deploy containerized LLM or vision endpoints with rolling updates and straightforward GPU allocation.
Treat our cluster as the “overflow” partition when your local GPUs are full—all with the same Kubernetes toolchain.
We'll set up a managed Kubernetes environment that accelerates your AI journey from day one.