Global AI compute exchange

Find compute. Activate capacity.

Match enterprise demand with global GPU supply—from elastic access to long-term co-build, choose the model that fits.

In 60 seconds, see how compute gets matched, delivered, and monetized.
See my route
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Match by workload and region
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Compare five operating models
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Model a capacity-value target

Where AI models actually run.

GPU-dense infrastructure, high-speed fabric, and liquid-cooled racks — the backbone powering every inference and training workload.

GPU Clusters
800G Fabric
Liquid Cooling
Local route detected

Your starting point: Global / choose market

Language, regional content, and the inquiry route have been aligned to your market. You can change them at any time.

Explore this market
I need compute

Match by region, chip, and timeline

Post your workload requirements and get matched with verified capacity across 30+ markets.

Post demand
I provide capacity

Connect capacity to enterprise projects

Register your GPU fleet and tap into a pipeline of enterprise demand with structured contracts.

Register capacity

Whichever side you enter from, one delivery system takes it live.

Matching, architecture, sourcing, finance, deployment, operations, and reporting stay in one accountable chain.

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Demand matching
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Contract delivery
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Operations & settlement

Shape the route before you send the brief.

Three choices turn a broad requirement into a recommended operating model and a pre-filled inquiry.

01

What needs to run?

02

When should it start?

03

How much control?

Live recommendation
Recommended starting model

On-demand

Delivery marketGlobal / choose market
First delivery stageDiagnose

Fast, elastic access

Matching is only the start. Delivery is the outcome.

A clear route from the first requirement to steady-state operations.

01

Diagnose

Workload, region, risk

02

Match

Capacity and infrastructure

03

Structure

Solution and commercials

04

Deploy

Build and integration

05

Operate

24/7 service and optimization

Current delivery stage Diagnose

Define workload shape, data boundaries, target market, and risk profile.

1 of 5 stages

From one deployment to long-term co-build.

Start flexible, then move toward control and ownership without changing the delivery team.

L1

On-demand

L2

Reserved

L3

Dedicated cluster

L4

Managed operations

L5

BOT / Joint venture

Operating model comparison On-demand Fast, elastic access
FlexibilityHigh
ControlLow
Launch pathFast
OperationsCustomer

Turn utilization into an operating return objective.

Model a target range for capacity operations, then take the assumptions into a partnership conversation.

70%

Higher utilization can improve operating leverage but increases delivery commitments.

Illustrative scenario
Target annual operating yield
11–15%
Return profileBalanced
Aligned modelManaged operations

Primary drivers: contracted utilization, realized pricing, energy, operations, financing, and asset life.

Illustrative target only—not a forecast, guarantee, or investment advice. Excludes financing, tax, and market volatility.

Not just GPUs. A compute system built to run.

Accelerators, fabric, cooling, and private-cloud control delivered as one operating system.

GPU-Dense Datacenter

Massively parallel AI training clusters

800G High-Speed Fabric

InfiniBand / RDMA low-latency mesh

Immersion Liquid Cooling

Megawatt-scale thermal efficiency

Private AI Cloud Vault

Enterprise-grade security & isolation

Start local. Orchestrate globally.

Select a market to see the delivery focus, preferred starting models, and local engagement route.

Market signal Global / choose market Regional route ready

Global / choose market

Choose a market above to reveal the recommended delivery route.

Location is resolved at country level; raw IP is not exposed to the page.

Have demand? Post it. Have capacity? Connect it.

Start with three facts. Our team will shape the next step around your region, workload, and timeline.