The compute your workload needs. The operation behind it.
Engage Harness House to arrange GPU capacity and manage its deployment and operation. Start with your workload, required capacity, and budget.
Discuss compute requirementsScope the capacity
Define GPU memory, workload characteristics, storage, networking, and the length of commitment. Confirm supplier availability and terms before booking capacity.
Get the workload running
Scope the environment, access, software, and validation needed to bring your workload onto the agreed infrastructure.
Define the ongoing support
Agree on monitoring, maintenance, incident handling, and capacity changes. Responsibilities and service commitments are set out in your proposal.
Capacity and management, clearly priced.
Infrastructure charges, deployment work, and ongoing management are itemized separately. We can scope a standalone compute engagement or the infrastructure for a custom AI system.
Hardware, region, availability, and support requirements are confirmed for each engagement. Capacity is quoted against your requirements.
Bring us the workload.
Share your model or application, expected usage, preferred region, start date, and any existing infrastructure. We will use those requirements to scope the engagement.
Discuss your deployment →