Sectors · Compute platforms
GPU capacity, built to be sold
Cloud providers, telecoms operators and hosting companies are building GPU clusters for their customers. The business case depends on capacity that enters service on time, performs as promised and serves many tenants safely.
Who it is for
- GPU and AI cloud providers
- Telecoms operators adding AI services
- Hosting and managed-service providers
- Investors assessing AI infrastructure projects
Typical questions
Questions we help answer
- How much capacity should we build first, and where?
- Which cluster architecture fits the customers we are targeting?
- How do we secure power, space and hardware on the same timeline?
- What should acceptance look like before we sell capacity?
- How do we isolate tenants without losing performance?
What we cover
AI & GPU cloud: our scope
Capacity and phasing
How much to build, in what order, against the demand you expect.
Cluster and fabric architecture
Compute, interconnect and storage designed for the workloads you will sell.
Multi-tenant platform
Isolation, scheduling, metering and monitoring across customers.
Sites and colocation
Requirements for owned sites or colocation partners, and how to compare them.
Supply and delivery
Hardware, facility and network on one delivery programme.
Validation before sale
Performance and resilience tested before capacity reaches customers.
How we help
The four stages, applied
Engage us for one stage or all four
-
01
Advise
Capacity, cost and site options assessed against your target customers.
How we advise -
02
Design
Cluster, fabric, storage and multi-tenant platform architecture.
How we design -
03
Deliver
Sourcing, installation and validation of capacity before it is sold.
How we deliver -
04
Coordinate
Hardware, facility and network suppliers working to one programme.
How we coordinate
Contact
Building GPU capacity to sell?
Tell us what you are planning and where you are today. The first conversation covers workloads, facilities and timing.