Book a Factory

It starts with a conversation about the infrastructure behind your AI. We’ll discuss your workload, GPU requirements, power, and timeline, then work toward a dedicated deployment. Booking a call doesn’t reserve capacity or commit you to a contract.

Teams building and running AI that need dedicated compute: from model training and fine-tuning to inference. Whether you have a detailed infrastructure specification or are still sizing your first cluster, we can start with what you know.

No. Bring your workload, current bottlenecks, and a sense of where you want to go. If you already have a preferred GPU platform, cluster size, networking specification, or power requirement, we’ll use that as a starting point.

Vertical brings power, data centre infrastructure, and dedicated GPU clusters together. We’ll work through the facility, cooling, hardware, networking, and operating responsibilities for your deployment, with the scope defined in your agreement.

The right platform and schedule depend on your workload, cluster size, and current availability. We’ll discuss those together and confirm the proposed hardware and delivery milestones in your quote. The systems shown on this site are a starting point for that conversation.

Pricing is scoped to the deployment: GPU configuration, capacity, term, power, and operating requirements. After understanding what you need, we can work toward a proposal with the commercial terms and responsibilities laid out.

An overview of your team and workload, your target start date, and any requirements you already know. Useful details include GPU preferences, expected scale, storage and networking needs, and security requirements. You don’t need a finished specification.