Description
What you get
- Dedicated bare-metal hardware — no hypervisor between you and the machine
- Multi-GPU clusters, configured to the workload
- Unlimited scalable storage
- Custom-configured per workload — GPU model, interconnect, CPU and memory ratio
- 24/7 dedicated support and an account manager
- Custom SLA and compliance options
Who this is for
Organisations with heavy or specialised workloads: distributed training across multiple cards, sustained inference at volume, or requirements that need contractual terms rather than a standard plan. Also the right route if you need a signed data processing agreement, defined data-residency commitments, or procurement paperwork.
Why there is no price on this page
Because a number here would be fiction. Multi-GPU pricing depends on the card, the interconnect, the power envelope and the term. Quoting before we understand the workload would mean quoting wrong.
What to include in your enquiry
- The workload — training, inference, or both — and the model sizes involved
- GPU count, and whether jobs need to span cards
- Storage volume and throughput expectations
- Any data-residency, audit or contractual requirements
- Timeline
Enterprise agreements are governed by the signed order form rather than our standard Terms, including refund and termination terms.
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