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Discuss your project

Compute starts with the infrastructure behind it.

Plan dedicated GPU capacity around the work you need to run. We bring power, campus and operating requirements into one development plan.

Discuss compute
Power distribution
Interconnect
GPU nodes
Storage
Cooling
GPU nodes, interconnect, storage, power distribution and cooling in one compute hall.

Built around your workload.

Training and fine-tuning

Define the cluster, interconnect, storage and scheduling requirements for your models.

Inference

Plan around demand, latency, location and the capacity needed as usage grows.

GPU cloud expansion

Explore dedicated infrastructure for an existing cloud platform or operating team.

Agree the operating model.

Dedicated compute proposals cover hardware, networking, storage and operating services.

Each proposal defines who supplies, owns and operates every layer, including any specialist providers required.

Already own your hardware? Explore campus and colocation options for customer-owned equipment.

Explore AI campuses

What your proposal covers.

The proposed configuration, location options, capacity basis, operating responsibilities, commercial structure and delivery milestones, with key dependencies identified.

Compute proposalContents
  1. 1Proposed configuration
  2. 2Location options
  3. 3Capacity basis
  4. 4Operating responsibilities
  5. 5Commercial structure
  6. 6Delivery milestones
  7. 7Key dependencies

Start with what you know.

Share your preferred GPU or performance requirement, cluster size, workload, location constraints and target date. If the requirement is still taking shape, we define it with you in the first discussion.

Submit compute requirements