GPU infrastructure on a fleet we own

Dedicated GPU infrastructure for AI training, fine-tuning, research, and inference. Build on servers, clusters, and storage on our owned fleet, in the jurisdiction you choose.

Why it matters

When an upstream provider reprices or reallocates, resellers pass that on to you. We own our hardware.

OWNED FLEET

Rented capacity carries someone else's priorities. Harbor One owns its GPUs, so the capacity you reserve stays yours.

Current-generation NVIDIA Blackwell B300s on NVIDIA reference architecture.

BLACKWELL B300

DEPLOYMENT

Bare metal, virtual machines, or Kubernetes. On-demand or reserved capacity.

What it does

Build environments designed specifically for training, fine-tuning, and production inference.

DEDICATED SERVERS & CLUSTERS

NVIDIA Blackwell B300s on reference architecture with bare metal, VM, or Kubernetes environments.

High-performance storage sized for training data and model weights alongside AI dev workspaces.

STORAGE & DEV TOOLS

DEPLOYMENT PLANNING

Send your capacity, location, and timeline requirements. Our team will help scope a managed or customer-controlled deployment.

How it fits & Who uses it

One control plane across compute, networking, and distributed delivery.

HOW IT FITS

Harbor Compute is where you build. Harbor Networking moves data. Harbor ADN delivers to users. Harbor Sovereign holds policy.

Model developers, universities and researchers, enterprises, and ISPs and carriers.

WHO USES IT

SPECS

NVIDIA Blackwell B300 · Alabama, USA & Eindhoven, Netherlands · Bare metal, VMs, Kubernetes · On demand or Reserved.

HARBOR COMPUTE

Questions, answered.

What GPUs does Harbor Compute run?

NVIDIA Blackwell B300 GPUs on NVIDIA reference architecture.

Does Harbor One own the GPUs?

Harbor One owns its GPU fleet rather than reselling another provider’s capacity.

Can I choose a region?

The platform supports placement in Alabama, USA, and Eindhoven, Netherlands. Confirm capacity and availability for your workload with our team.

How do I get started?

Send a deployment enquiry with your capacity, location, and timeline requirements.

Tell us what you want to train.

Plan your deployment with our team, including reserved capacity for a larger program.