Uniqcli

Solutions

Simulation & Digital Twin Workstations

Simulation and digital-twin work is GPU- and memory-bound long before it is license-bound. Uniqcli specifies the workstation or small cluster to the solver you actually run, against the solver vendor's published guidance, and delivers it as a documented build.

Category
Solver workstations and small compute clusters
Sized against
The solver, the mesh or model size, and the licensing model
Delivered as
A documented build with firmware, driver and configuration recorded
Boundary
We specify and build the machine; the solver, the model and the results stay yours
Overview

The solver, not the category, decides the machine

Simulation is a category name covering workloads with almost nothing in common. An implicit structural solve is memory-bandwidth bound and cares enormously about DIMM population. An explicit crash or blast run scales across cores. Many CFD and electromagnetics codes have GPU paths that transform runtime, and others have none at all. Real-time digital-twin visualization is a graphics problem wearing an engineering hat. Buying one workstation specification for all of that guarantees somebody is disappointed. Uniqcli specifies against the solver being run, using the solver vendor's own published guidance, and states the assumptions behind the configuration on the quote so the reasoning is auditable rather than asserted.

What drives the specification

Memory population, GPU path, and the license you already pay for

Memory is usually the first constraint and the most misunderstood. Implicit solvers factorize large matrices and are limited by memory bandwidth as much as capacity, which means the DIMM population — how many channels are actually filled — can matter more than the total gigabytes. A machine with the right capacity in the wrong configuration is a machine running well below what it cost.

The GPU path is the second question, and it is entirely solver-specific. Where a code has a mature GPU implementation, a well-chosen accelerator can compress overnight runs into a working session, and the accelerator memory capacity sets the largest model that fits. Where it does not, the same money is better spent on cores, memory bandwidth or faster scratch storage, and we will say so.

The third factor is the license you are already paying for. Many engineering codes are licensed per solver process or per core group, and a workstation with more cores than your license can use is money spent on idle silicon. We ask about the licensing model before specifying core count, because that single question routinely changes the answer.

Specification

Specified against published guidance, with the assumptions written down

Vendor benchmark suites rarely resemble the model an engineering team actually runs, so a specification is only as good as the reasoning behind it. We specify against the solver vendor's published sizing guidance for the code you named, and we state the assumptions we used — mesh or model size, solver mode, expected concurrency — on the quote itself. That makes the configuration auditable rather than asserted, and it occasionally saves a substantial amount of money by showing where a cheaper configuration is sufficient.

The machine then arrives as a documented build: firmware levels, driver versions and the configuration as shipped are recorded, and the system is run under loaded burn-in before it is boxed. Running your case on it is your work, not ours — we do not take delivery of engineering models, execute proprietary simulations or report results.

  • DIMM population specified per channel, not just per gigabyte
  • GPU path confirmed against the solver before an accelerator is quoted
  • Core count matched to the license you already hold
  • Sizing assumptions stated on the quote, not left implicit
  • Identical documented configuration across a team
Engineering and research hardware being configured in a build environment
Engineering and research hardware being configured in a build environment
Questions

Simulation hardware questions

Do you supply the simulation software?

Engineering and simulation ISV licenses are not lines we carry priced in the catalog; where a project needs one, it is sourced on request through authorized US distribution. What we specify and supply is the hardware, sized around the licensing model you already have.

Workstation or small cluster?

It depends on whether the solver scales across nodes and whether your license permits it. Many teams get further from one well-specified workstation than from a poorly matched pair of nodes, and we will tell you when that is the case even though it is a smaller order.

Can you match machines we already run?

Yes, and for comparable results across a team it is usually necessary. Send the existing specification and we quote to match, flagging any component that has gone end-of-life and proposing the nearest equivalent rather than substituting silently.

Where the line is

What stays yours to run

We specify and build the machine. The solver, the model, the mesh, the results and the engineering judgement applied to them stay entirely inside your program. We do not run simulations on your behalf, take delivery of proprietary or export-controlled engineering cases, interpret output, or advise on which solver you should be using — those are engineering decisions that belong to the people accountable for them.

What we own is the supply chain and the build: specification against the solver vendor's published guidance, sourcing through authorized US distribution, per-line origin and covered-entity screening, loaded burn-in, and a documented configuration recorded as shipped. Where a code needs an ISV license we do not carry priced, we say so and source it on request rather than quoting around the gap.

Ask AI about Uniqcli

Simulation & Digital Twin Workstations

Tell us the solver and the license

Those two facts change the configuration more than anything else. Send them and we come back with a documented configuration and the assumptions it rests on.