Science,
hardware,
digital systems.

GRUENCY is the Warsaw practice of Sebastian Michalski. It covers data analysis and quantitative research, custom multi-GPU workstations built under the WS.COMPUTER name, design and manufacturing of precision metal parts, software development and technical advisory.

What GRUENCY does
  • 25+Years of experienceIn research, finance, software, design and manufacturing.
  • 30+CountriesClients on five continents.
  • 11World's firstWater-cooled workstation with 11 GPUs, 2017.
National Bank of PolandProf. Leszek Balcerowicz AwardWarsaw School of EconomicsRector's AwardElsevier SciencePhysica A paperNVIDIA vendorWorkstations for CG studios worldwide

Five areas of work

Research

Quantitative research and modelling

Econometrics, time-series analysis, Monte Carlo simulation and forecasting, using the methods Sebastian published in Physica A (Elsevier) and applied at the National Bank of Poland.

Quantitative research
Hardware · WS.COMPUTER

Custom workstations

Multi-GPU workstations for deep learning, GPU rendering, CAD and simulation: server-grade dual-CPU platforms, ECC memory, air or water cooling and CAD-designed chassis, specified for the workload and tested under sustained load.

GPU workstations
Manufacturing

Design and manufacturing

Precision parts, enclosures and chassis in aluminium and other metals: drawn in CAD, fibre-laser cut, formed on CNC press brakes and powder-coated.

Manufacturing
Software

Web applications and digital tools

Web applications, product configurators, technical documentation systems and language-model workflows, specified before development and maintained after handover.

Software
Advisory

Technical advisory and audits

Configuration audits, PCIe and thermal analysis, GPU compatibility reviews, damage assessment and second opinions on technical plans.

Advisory and audits

Data analysis
and quantitative research

Data analysis in the broad sense is one of GRUENCY's main areas, alongside manufacturing and software development. The work draws on Sebastian Michalski's background: teaching econometrics, data analysis and optimisation at SGH Warsaw School of Economics, research at the National Bank of Poland, and publications with Elsevier Science and PWN Scientific Publishers.

Areas of work

  • Time-series and long-memory analysis: DFA, Hurst estimation, spectral methods
  • Monte Carlo simulation studies: estimator bias, variance and robustness
  • Forecasting models with stated uncertainty
  • Methodology review and replication of existing analyses
  • Decision-support modelling for founders and research teams
  • Second opinions on models and data work, also offered under Technical advisory

How the work is delivered

  • Brief: the question, the data and the decision it informs
  • Methodology and fixed scope agreed in writing before work starts
  • Analysis with reproducible code and stated assumptions
  • Written findings followed by a call to discuss them
Quantitative research

WS.COMPUTERCustom workstations

Each build is planned as a whole: processor platform, PCIe topology, GPU spacing, memory, storage, cooling, power delivery, chassis, transport and long-term serviceability.

Hardware and manufacturing

  • Multi-GPU workstation architecture, up to 11 GPUs
  • Server-grade dual-CPU platforms with ECC memory
  • Custom chassis: CAD design and manufacturing
  • Air or water cooling, with thermal validation
  • Deep learning and local language models
  • Remote commissioning and support

Software and research

  • Econometric and statistical programming
  • Research and documentation pipelines with language models
  • Web applications and configurators
  • Structured technical content
  • Data modelling and decision support
  • Computer graphics and rendering pipelines

Tested before delivery

  • Sustained full-load burn-in
  • Per-GPU thermal profile
  • Speed tests: GPU and memory performance, tokens per second for language models
  • Noise check against the agreed target
  • Photo documentation of the build
  • Remote commissioning on arrival

Who we build for

Each WS.COMPUTER machine is specified for its workload, from large studios to independent artists and data teams.

Inside a WS.COMPUTER workstation: two GeForce RTX 5090 graphics cards, sleeved power cables and a SilverStone CPU cooler in a black chassis
2–4 GPUs

Graphics studios and design offices

For large graphics studios, architecture and design offices. ECC memory sized to the task, air or water cooling, specified for sustained full-power runs.

1–2 GPUs

Independent designers and artists

For freelance designers, visualisers and 3D artists: design, rendering and visualisation at the desk, quiet under load.

4–8 GPUs

Data analysis and deep learning

For data analysis, simulation, deep learning and large language models. PCIe lanes planned per GPU and a noise level agreed in advance.

Beyond these: in 2017 WS.COMPUTER built the world's first 11-GPU water-cooled prototype.

Design
and manufacturing

GRUENCY designs and makes precision parts in aluminium and other metals. Each part is drawn in CAD, cut on a fibre laser, formed on CNC press brakes and powder-coated. The WS.COMPUTER chassis is made this way.

Fibre laser cutting parts from a metal sheet

What is made

  • Enclosures and chassis
  • Precision sheet-metal parts, brackets and panels
  • Parts made to a client's drawing or designed from a brief
  • Single prototypes and production batches

How a part is made

  • CAD design and drawings, made to tight tolerances
  • Fibre-laser cutting
  • Bending on CNC press brakes
  • Powder coating and curing
  • A check against the drawing before dispatch
Aluminium panel formed on a CNC press brake
Powder coating of metal panels

Custom software,
web applications

GRUENCY builds web applications and digital tools: product configurators, technical documentation systems and language-model workflows. Each is specified before development and maintained after handover. The WS.COMPUTER configurator at ws.computer is one of them.

What is built

  • Product configurators with pricing and compatibility rules
  • Web applications and internal tools
  • Technical documentation and knowledge systems
  • Workflows with local and hosted language models

How the work is delivered

  • Written specification and fixed scope before development
  • A staging version for review before each release
  • Handover with documentation
  • Maintenance and changes after launch
Free applications

Technical advisory and audits

GRUENCY reviews workstation configurations, quotes and technical plans and reports its findings in writing.

What is reviewed

Configurations, thermal designs and methodologies, before purchase, after a failure or when a plan needs a second opinion.

  • Pre-purchase configuration audits for workstations, servers and render nodes
  • PCIe topology and thermal analysis of existing machines
  • GPU compatibility and power-delivery reviews
  • Damage assessment and failure analysis
  • Quote reviews covering specification and pricing logic
  • Second opinions on models, data work and technical plans

How it works

  • Brief: a short call or written summary of the machine, quote or plan
  • Fixed scope and fixed price, agreed before work starts
  • Written findings with reasoning, followed by a call to discuss them
Advisory and audits

Over 30 countries.

Trusted by studios, artists and production teams. Machines, models and software are delivered from Warsaw and commissioned remotely.

Built for the people behind films, games and installations you already know

NVIDIA Studio Marvel Studios veterans Pixar veterans Disney+ productions Warner Bros. Pictures Sony Pictures Unreal Engine studios MoMA permanent collection

Private commissions by individuals working at or with these organisations. Listed for context, not as corporate endorsement.

Who we work with

  • Deep learning teams

    Machines for model training and local language-model inference that run at full power for days.

  • Render and VFX studios

    Multi-GPU OctaneRender and Redshift systems built to an agreed noise level.

  • Quantitative and research groups

    Statistical models, simulation code and the machines to run them.

  • Engineering and CAD

    Simulation and visualisation workstations balanced across CPU, GPU and memory bandwidth.

  • Product teams

    Configurators, documentation systems and language-model workflows.

  • Independent professionals

    A single machine or tool, with support from the person who built it.

WS.COMPUTER special-edition interior: GPU water circuit with black tubing and nickel couplings

Sebastian Michalski

Quantitative economist, scientific programmer, workstation architect

Sebastian Michalski worked as an online research analyst at ThunderHouse, the healthcare division of McCann Erickson in the United States. He then worked at SGH Warsaw School of Economics, teaching econometrics, data analysis and optimisation, and at the National Bank of Poland, where he received a first-degree award from Prof. Leszek Balcerowicz. He has published with Elsevier Science in Physica A: Statistical Mechanics and its Applications and co-authored a chapter of a textbook published by PWN.

He is recognised for building the world's first workstation with 11 water-cooled GPUs, and today he designs and builds high-end custom workstations under the WS.COMPUTER brand. In the OctaneRender community, where he has written several thousand posts, he is known as smicha.

1997, 1999
McCann Erickson, ThunderHouse: online research analyst
1995–2007
SGH and National Bank of Poland
2008–2009
Physica A (Elsevier) and PWN: publications
Since 2011
WS.COMPUTER: design, manufacture and support of professional workstations
2017
The world's first 11-GPU water-cooled workstation
Since 2017
Workstations for artists at leading film, animation and visual-effects studios worldwide

Awards and publications

National Bank of Poland

First-degree award, President of the National Bank of Poland

Awarded by Prof. Leszek Balcerowicz, President of the National Bank of Poland, for optimisation work on currency circulation in Poland.

SGH Warsaw School of Economics

First-degree Rector's Award, SGH

For co-authoring a chapter of the textbook Econometrics and Operations Research, PWN Scientific Publishers.

Elsevier Science

Sole-author publication in Elsevier Science

Published by Elsevier Science in Physica A: Statistical Mechanics and its Applications: a Monte Carlo method that reduces bias and variance of detrended fluctuation analysis for long-memory time series.

Founder of WS.COMPUTER, 2017

11-GPU water-cooled workstation

The world's first 11 water-cooled GPUs on a dual-CPU server platform in a single CAD-designed case.

Computer-graphics studios

Workstations for leading graphics studios

Supplier of high-end workstations to leading computer-graphics, visualisation and architecture studios worldwide, among them NVIDIA.

OctaneRender community

Hardware advice for Octane rendering

Several thousand posts on the OctaneRender forum about choosing components for self-built render workstations: GPUs, power, cooling and chassis. Known there as smicha.

Client reviews

Selected feedback from WS.COMPUTER clients, published with their consent.

“The scientist who builds these machines.”

Vitaly BulgarovConcept artist · Iron Man, Ghost in the Shell, Transformers

“Best workstation I've had in 25 years of 3D work. Custom built by WS.COMPUTER, rock solid under heavy Cinema 4D, Houdini and Redshift loads, and the service was spot on start to finish.”

Mário Domingos3D motion designer · Dublin · 2026

“The workstation is very professionally built, everything feels high quality, and the whole process from ordering to delivery was smooth and straightforward.”

Oscar Böckerman, OSCUCGI and VFX studio · Helsinki · 2026

“Still running silent and smooth since 2019. No issues. That quad 4090 setup is awesome for running local LLMs these days.”

Markus Menzel, MAD ImageryArchitectural visualisation · Germany · 2026

“The machine was rendering for more than 400 hours straight and I have the feeling that it became even quieter now.”

Stephan A.3D visualisation artist · Baden-Baden · 2019

“Wahnsinns-Workstation — a fabulous beast, individually crafted for us.”

Lumos GbR3D motion-design studio · Aachen / Berlin

All reviews on ws.computer

How a project runs

  1. Consultation

    A conversation about the workload, model, application or machine. Free of charge.

  2. Specification

    Scope and architecture in writing, with a fixed quote.

  3. Build

    Built by hand in Warsaw: laser-cut, powder-coated chassis, photographed at every stage.

  4. Testing

    Burn-in, thermal profiling and a noise check for machines. Models and applications are tested against the brief.

  5. Support

    Remote commissioning, then direct contact with Sebastian.

Frequently asked questions

What does GRUENCY do?

Quantitative research and modelling, custom multi-GPU computing systems under the WS.COMPUTER name, web applications and digital tools, and technical advisory.

How are GRUENCY and WS.COMPUTER related?

WS.COMPUTER is the name of the workstations. GRUENCY is the practice that covers research, design, software and advisory. Both are run by Sebastian Michalski.

When does a custom workstation make sense?

When the workload needs more GPUs, PCIe lanes, cooling capacity or a lower noise level than a standard configuration offers. If a standard machine fits the workload, the consultation says so.

How long does a build take?

It depends on component availability. The delivery date is given with the fixed quote, and progress photos are sent during the build.

Do you deliver outside Poland?

Yes, across the EU and worldwide. Machines ship in custom transport packaging and are commissioned remotely on arrival.

What does support include?

Component warranties are passed on in full, workmanship is guaranteed, and support is provided directly by Sebastian.

How is pricing set?

Hardware gets a fixed price after specification. Research and software work is scoped and quoted per project.

Can you audit an existing machine or review existing work?

Yes: configuration audits, PCIe and thermal analysis, damage assessment, and reviews of models, data work and technical plans.

Do you build servers or clusters?

Rack systems and small clusters, yes. Data-centre scale projects are outside the scope of the practice.

Contact us

Describe the workload, the constraint or the question. Sebastian replies personally within two working days.

Or email info@gruency.com