Engagement Model · Conversation to Compute

From conversation to compute.

Five stages from first conversation to live AI infrastructure. Factory work and site work happen in parallel — that's why we move faster than conventional builds.

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The Stages

Five stages, two tracks.

Every Fullscale deployment runs five stages from first conversation to live capacity. The structural difference from conventional builds: factory work and site work happen at the same time, not one after the other. Two tracks converge at delivery and commissioning.

01
Discovery

Assess

Every deployment starts with a clear picture of what you actually need — not what a standard data center configuration assumes. We define compute requirements, timing, scale, geography, cooling assumptions, and infrastructure fit before anything else.

Workload profile — training, inference, mixed, or specialized compute
Power requirements and density targets — kW per rack, total MW envelope
Geography and latency requirements — campus, distributed, or edge
Timeline — when capacity needs to be live and operational
Deployment fit — campus capacity vs modular unit vs fleet rollout
02
Architecture

Design

With requirements defined, we map the right campus capacity allocation, modular unit configuration, and white-space environment to the specific workload profile. Site work and unit engineering kick off together.

Campus capacity block sizing and phase sequencing
Modular unit configuration — cooling method, rack density, count
White-space environment layout — power, cooling, connectivity
Expansion plan — how the deployment scales without disrupting operations
03
Specification

Configure

The configuration stage locks in the technical operating parameters — every thermal, density, and deployment assumption is specified before manufacturing or build-out begins. No mid-build surprises.

Thermal mode selection — DLC, immersion, or hybrid configuration
Density envelope — rack power density targets and peak load
Power distribution architecture — input power, redundancy, circuit layout
Connectivity specification — fiber pathway, network, carrier selection
04
Execution

Deploy

Two tracks converge here. Units finish factory build and ship to site. Site infrastructure is ready. Delivery, integration, and commissioning happen as one final stage. This is where the parallelism pays off.

Physical delivery and site integration — domestic manufacturing, no international logistics delays
Power and cooling tie-in — commissioning and operational validation
Connectivity commissioning — fiber, network, and carrier handoff
Customer hardware integration support — white-space handoff and acceptance testing
05
Continuity

Operate

The relationship doesn't end at deployment. Fullscale supports ongoing service continuity, lifecycle planning, and infrastructure evolution — including technology refresh coordination and expansion sequencing as AI hardware generations advance.

Ongoing infrastructure monitoring and service continuity
Technology refresh coordination — modular architecture enables in-place upgrades
Capacity expansion planning — new blocks on the existing backbone
Long-term infrastructure evolution as AI workload demands shift
What We Commit To

Capacity we actually deliver.

⚡ Speed
Parallel tracks.
Factory work and site work happen at the same time. Sites are pre-screened for low-friction energization paths. Capacity dates don't depend on a queue we don't control.
◆ Control
Owned infrastructure.
Capacity commitments are backed by infrastructure we own and operate — not dependent on third-party timelines, external approvals, or utility windows.
↺ Evolution
Built for the curve.
AI hardware generations turn over every 12–18 months. Modular architecture means your infrastructure stays current without stranded capital — the platform evolves alongside the hardware.

Stage one is a conversation.

Tell us your requirements. We come back with a strategic fit assessment — no commitment required.

Start the Conversation → Explore FS-1