Site & Power
Define the feasible power envelope across utility availability, interconnect timing, substation topology, redundancy, and campus load.
Output
Power envelope + site criteria
High-density AI
infrastructure,
engineered from
the grid up.
4AI Factory brings site, power, liquid cooling, compute, fabric, storage, commissioning, and operating readiness into one deployment plan—before long-lead procurement begins.
Illustrative reference scenarioNot operating capacity
128Compute nodes
1,024Accelerator positions
Site-specificPower envelope
Workload-ledFabric topology
One coordinated deployment plan
Site + powerLiquid-cooledRack-scaleCommissioning-defined
01 / Capabilities
The cluster is only as strong as its dependencies.
We turn capacity and workload requirements into a buildable basis of design, delivery sequence, acceptance criteria, and operating model.
System Architecture
Translate workload and scale into rack, fabric, storage, management, and software-control requirements.
Output
Basis of design + topology
Thermal System
Engineer facility water, heat rejection, CDUs, distribution, controls, and service access as one coordinated loop.
Output
Thermal basis + controls
Commissioning & Operations
Set integration gates, acceptance tests, observability, spares, and handoff requirements before installation starts.
Output
Acceptance plan + runbooks
Method, not theater
Decision-ready before procurement.
Infrastructure credibility comes from what gets resolved, recorded, and accepted—not from a parts list or a concept image.
What the engagement produces
Decision-ready deliverables
- 01
Deployment brief and assumptions ledger
- 02
Integrated basis of design
- 03
Long-lead dependency plan
- 04
Commissioning and acceptance plan
- 05
Operating model and expansion triggers
02 / System
Architecture starts with constraints, not a parts list.
This scenario shows how compute, fabric, storage, controls, thermal, and facility systems fit together. Final topology, resilience, load, and component choices depend on the site, workload, and supplier availability.
Reference system map
Facility + thermal + rack + control layers
128Compute nodes
1,024Accelerator positions
Site-specificPower + thermal
Workload-ledFabric + storage
Illustrative only. Not a customer deployment, validated reference design, availability commitment, or operating capacity.
One production envelope from the utility edge to the operating model.
Site & utility edge
Capacity, topology, resilience, and the interconnect critical path.
Thermal system
Heat rejection, facility water, CDUs, distribution, and controls.
Rack distribution
Electrical and liquid boundaries designed around density and service.
Compute, fabric & storage
A workload-led topology rather than a vendor-led parts list.
Controls & operations
Telemetry, acceptance criteria, runbooks, and expansion triggers.
03 / Risk control
Resolve risk before racks arrive.
The expensive failures happen at system boundaries. We make those boundaries explicit before they become field problems.
Power & site
What can the site support—and when?
Resolve feasible load, interconnect timing, redundancy, and mechanical overhead before the hardware plan hardens.
Thermal boundary
Can every watt leave the system?
Model facility water, heat rejection, flow, pressure, chemistry, controls, and service conditions as one loop.
Dependency path
What actually sets the schedule?
Map long-lead equipment, design decisions, integration gates, substitutions, and site readiness against one critical path.
Production acceptance
What does ready mean?
Define test evidence, telemetry, failover behavior, runbooks, spares, and handoff criteria before commissioning begins.
Illustrative maintenance view04 / Thermal
Cooling is compute infrastructure.
Direct-to-chip liquid cooling is not an accessory. The complete loop—from facility water and heat rejection through CDUs, manifolds, rack connections, controls, and serviceability—must be engineered together.
01
Temperature, flow, pressure, and chemistry modeled together
02
Resilience aligned to workload and maintenance windows
03
Acceptance evidence from heat rejection to cold plate
05 / Energy
Power defines the deployment envelope.
Utility capacity, interconnect timing, substation topology, and mechanical load determine feasible cluster size and schedule. Resolve that envelope before procurement decisions lock in risk.
Illustrative campus viewOne capacity envelope, validated per site.
06 / Delivery
A gated path to production acceptance.
Define
Confirm workload, capacity, site, resilience, economics, and schedule. Record the assumptions driving the design.
OutputAssumptions ledger
Engineer
Produce the basis of design across power, thermal, rack, fabric, storage, controls, and operating model.
OutputBasis of design
Deliver
Coordinate long-lead items, integration, installation, and test sequencing against defined decision gates.
OutputDependency plan
Accept
Commission against agreed criteria and hand off runbooks, observability, and expansion triggers.
OutputAcceptance plan
Deployment brief
Start with four constraints.
Choose scale, system approach, site readiness, and target window. We will assemble a concise scope you can copy, share, and refine.
What this is
A planning artifact—not a quote, schedule commitment, or validated design.