AI compute server series
Dense GPU nodes with front-to-back service access and optional liquid-cooled cold plates.
- Form factor
- 4U / 8U rack
- Cooling
- Air or cold-plate
- Service
- Front and rear access
Products & services
Specifications for procurement, architecture for technical review, and an operating model for the years after commissioning.
Overview
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Hardware specified for ambient conditions, service access and a ten-year operating horizon.
Dense GPU nodes with front-to-back service access and optional liquid-cooled cold plates.
Loop-level heat exchange with leak detection and per-rack flow visibility.
Power and cooling trains pre-integrated so phase one can open before full grid capacity.
Scale-out storage for meter data, billing archives and operational telemetry.
Platforms that have to stay correct when millions of accounts, meters and invoices pass through them.
Prepaid and postpaid billing, vending, payment adapters and exception queues.
Customer records, contract lifecycle and field service for water, gas and electricity.
Hall, microgrid and campus energy in one data model with tariff-aware scheduling.
Capacity allocation, job scheduling and tenant reporting across GPU pools.
The work that decides whether a system is still trusted three years after handover.
Load, climate and grid assessment that produces a reference architecture and a phased budget.
Hardware, software and third-party systems integrated and tested against the operating scenario.
Documentation, training and interface localisation delivered in the languages the site uses.
Defined response model with escalation paths agreed before commissioning.
Delivery path
Specifications for procurement, architecture for technical review, and an operating model for the years after commissioning.
Climate data, grid quality and load profile are modelled before equipment is specified.
Cooling and power modules commissioned in blocks that match the arriving compute.
Metering, tariff logic and maintenance calendars handed to a named operating team.
How the two engines meet
Delivery is run from regional nodes, with engineering and local operations staffed close to the project.
Share the site, the load and the constraint. We will come back with an architecture and a delivery path.