Family 01
Developer & enterprise
The starting rung: a private GPU environment a lab or team can actually use, without a public-cloud tenancy.
- 01
AI workstations
Developer and enterprise deskside systems for model work that cannot leave the building. Sized for a researcher, a clinical team, or a secure engineering bench.
- 02
High-density GPU servers
Shared servers for teams that have outgrown a workstation but are not yet at rack-scale. Thermal design and fabric are specified with the box, not after it arrives.
- 03
Enterprise GPU platforms
Standardized platforms for production inference and training under existing data-centre policy — with networking, storage, and operational readiness included.
Family 02
Current generation
Rack-scale systems and AI factories for organizations that need on-site density, not a handful of cards.
- 01
Rack-scale GPU systems
Integrated racks with power, cooling, and fabric designed as one system. The unit of delivery is a working environment, not a packing list.
- 02
High-density clusters
Multi-rack clusters for training and inference at departmental or enterprise scale, with a clear path to factory density.
- 03
Liquid-cooled AI factories
When air is no longer enough. Direct-to-chip or rear-door liquid cooling for thermal load that a conventional hall cannot carry.
Family 03
Next generation
Platforms we specify so today’s investment is not a dead end. Migration is part of the architecture, not a later surprise.
- 01
Next-gen CPU platforms
Host and control-plane platforms sized for the accelerators they will sit beside — not leftover general-purpose iron.
- 02
Advanced accelerators
GPU and accelerator generations selected against the workload, cooling envelope, and procurement reality — not a catalogue page.
- 03
Future rack-scale platforms
A documented path from the system we deploy now to the rack-scale platforms that follow, including power, cooling, and software stack changes.
Compare
What we include at each scale
Specs as a narrative, not a fake SKU list. Cooling, buyer, and scope are the decision — not a part number.
| Scale | Workstation | Server | Cluster | Factory |
|---|---|---|---|---|
| Typical use | Single researcher, secure bench, or clinical workstation | Shared team training and inference | Departmental or enterprise production | On-site AI program; regulated or classified workloads |
| Cooling | Deskside air | Air, with thermal headroom specified | Air or hybrid; hall constraints govern density | Air-cooled hall or liquid-cooled rack-scale |
| Who buys it | Lab lead, CDO, campus research computing | VP infrastructure, head of hosting | CIO / CTO, platform owners | CIO, CITO, defence digital, hospital CDO, utility CIO |
| What we include | Platform, stack, and operational readiness | Server, fabric, storage path, and Kubernetes | Cluster architecture, networking, and ops | Factory design: cooling, rack integration, software, and managed operations |
- 01Workstations
- 02High-density servers
- 03Enterprise GPU platforms
- 04Rack-scale systems
- 05Air-cooled factories
- 06Liquid-cooled factories
Request a briefing
Tell us the scale. We will say if a factory is required.
Tell us whether you need a single workstation, a dense cluster, or a liquid-cooled rack. We will tell you plainly if we are the right partner.