World-first prototype
11 water-cooled GPUs. One chassis. 2017.
Server-grade dual-CPU architecture in a single CAD-designed case — the practice's reference point for what a loop can carry.
GRUENCY / AI workstations
AI workstations built for sustained load.
A training run or a local-LLM service holds a machine at full power draw for hours or days. Consumer builds throttle, whine and fall over exactly there. GRUENCY sizes silicon, power and cooling to the sustained case — then proves it under burn-in before the machine ships.
A · Specification
What gets decided before a single part is ordered
An AI machine is a set of coupled budgets — compute, memory, lanes, watts, decibels. GRUENCY specifies them together, from the workload backwards.
- 01GPU class and VRAM sized to the models: quantisation, context length, batch size
- 02PCIe topology planned lane-by-lane — no silent x4 bottlenecks
- 03Workstation or server platform, ECC memory where the work deserves it
- 04Power delivery with headroom over the measured sustained draw
- 05Cooling engineered to an agreed acoustic target — loop or high-pressure air
- 06Storage layout for datasets, checkpoints and fast scratch
B · Validation
Proven before it ships
Every AI build leaves Warsaw with its own test record: sustained full-load burn-in, per-GPU thermal profile under real workloads, an acoustic check against the agreed target — and remote commissioning into your environment on arrival.
Fig. 01 · Loop interior — CPU block & coolant control, WS.COMPUTER build
Proof
Not our first
sustained run.
NVIDIA vendor collaboration
AI compute & visual production systems
External NVIDIA vendor work and workstation systems for AI/ML, rendering and visualization workflows worldwide.
Since 2014
Every GPU generation, vendor-independent
A decade of multi-GPU builds across generations — specified by workload, never by what happens to be in stock.
FAQ
Asked about
AI builds.
How do you size a machine for local LLM inference?
From the models you actually run: parameter count, quantisation, context length and batch size decide VRAM and bandwidth. That is the first consultation question — not an afterthought.
Air or water cooling for a training machine?
Decided by sustained draw and the acoustic target, not by fashion. Two GPUs under a good air budget can be right; four or more under continuous load usually argue for a custom loop.
Do you deliver and commission outside Poland?
Yes — EU-wide and worldwide, in custom transport packaging, with remote commissioning into your environment as a standard part of delivery.
Contact
Size it to the real run.
Describe the models, the data and the room the machine will live in. Sebastian answers every enquiry personally — within two working days.
Prefer email? [email protected] · Ready to configure? WS.COMPUTER ↗