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Solutions

A starting configuration for each kind of work, with the parts that matter most for it. Every one opens in the configurator, where you can change any part before we quote.

Media and entertainment

Photo and video editing, 3D, live production, real-time engines and rendering

Photo and video editing

Photo editing leans on the processor and on enough memory for large files and many layers. Video editing mixes CPU and GPU load: decoding camera files, effects and noise reduction lean on the graphics card, while timeline responsiveness and exports depend on the processor. Fast storage keeps both smooth.

Typical software

Adobe Photoshop Retouching, compositing
Adobe Lightroom Classic Catalog, batch export
Capture One Tethered, RAW
Stable Diffusion Generative fill
DaVinci Resolve Editing, color, Fusion
Adobe Premiere Pro Editing
Adobe After Effects Motion graphics
Foundry Nuke Compositing

What matters

Graphics: Critical
Resolve leans on the GPU for effects, noise reduction and smooth playback. Photo work needs only a mid-range card with enough video memory.
Processor: Critical
Fast cores speed up Photoshop filters, Lightroom exports and the video timeline. Intel Core Ultra adds Quick Sync hardware decoding for H.264 and H.265.
Memory: Important
64 GB is a sensible start for 4K video. Large panoramas and layered photo files also fill memory quickly.
Storage: Critical
Fast NVMe drives for media, catalog and cache, plus a larger drive for the archive. Slow storage causes dropped frames.

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3D design and animation

Modeling, sculpting and animation in the viewport mostly use a few fast CPU cores and a strong graphics card. Heavy simulations and final renders can use many more cores, which is when a larger platform pays off.

Typical software

Blender 3D, rendering
Autodesk Maya Animation
Autodesk 3ds Max Modeling
Cinema 4D Motion design
Houdini FX
ZBrush Sculpting

What matters

Processor: Important
Viewport work and animation rigs depend on single-core speed. Simulation and baking use many cores.
Graphics: Critical
A fast GPU keeps large scenes smooth in the viewport. Video memory limits scene size.
Memory: Important
64 GB covers most scenes. Detailed simulations and textures can use much more.
Storage: Supporting
NVMe for projects and caches. Capacity matters more than peak speed.

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Live production and real-time engines

Both draw and mix every frame live. Live mixing has to keep running without a dropped frame, with every camera input decoded and composited in real time while recording and streaming run alongside. Game engines and virtual production draw each frame too, so the graphics card sets the quality you can work at.

Typical software

vMix Mixing, replay
OBS Studio Streaming
Live streaming encoders H.264, H.265
Unreal Engine Real-time, virtual production
Unity Game development
Twinmotion Real-time visualization

What matters

Graphics: Critical
The GPU sets frame rate and quality in the editor, and handles scaling, overlays and hardware encoding for streaming. Ray tracing and large worlds also need video memory.
Processor: Critical
Each live input and encode uses CPU time, and fast cores shorten code and shader compiles. Intel Core Ultra adds Quick Sync hardware decoding and encoding.
Memory: Important
Enough for multiple inputs, replay buffers and large projects. 64 GB is a comfortable start.
Storage: Critical
Fast NVMe drives for recording several streams at once, and for the project and shader cache. Capture cards use PCIe slots.

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Rendering

Final-quality renders can run on the processor, on graphics cards, or both, depending on the renderer. CPU renderers keep getting faster with every extra core. GPU renderers scale with the number of cards, and their video memory limits scene size.

Typical software

Blender Cycles CPU or GPU
V-Ray CPU or GPU
Redshift GPU
OctaneRender GPU
Cinema 4D CPU or GPU
KeyShot CPU or GPU

What matters

Graphics: Critical
GPU renderers scale with GPU speed and count. GPU memory limits how large a scene can be.
Processor: Important
Critical for CPU renderers, which scale with core count. Less so for GPU rendering.
Memory: Important
64 to 128 GB for detailed scenes, simulations and textures.
Storage: Supporting
NVMe for assets and caches. Capacity matters more than peak speed.

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Workstation interior with tower cooler and graphics card

Engineering and architecture

CAD, visualization and photogrammetry

Architecture and CAD

Most modeling and drafting runs on a single processor core, so clock speed matters more than core count. A professional workstation graphics card gives driver stability for large assemblies.

Typical software

SolidWorks CAD
Autodesk Revit BIM
AutoCAD CAD
Autodesk Inventor CAD
Rhino Modeling
Ansys Simulation

What matters

Processor: Critical
Most modeling work runs on one core, so clock speed matters more than core count.
Graphics: Important
A certified professional GPU for driver stability. A mid-range card is usually enough.
Memory: Supporting
32 to 64 GB covers most assemblies and models.
Storage: Supporting
NVMe for fast file opening and saving.

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Visualization

Real-time visualization tools draw architectural scenes live, so the graphics card does most of the work. Large models and textures also want video memory and system memory.

Typical software

Twinmotion Real-time visualization
Lumion Architecture
Enscape Revit, Rhino plug-in
D5 Render Real-time ray tracing
KeyShot Product rendering

What matters

Graphics: Critical
The GPU sets quality and frame rate. Video memory limits how detailed a scene can be.
Processor: Important
Good single-core speed for modeling and scene preparation.
Memory: Important
Detailed scenes with many textures use memory quickly.
Storage: Supporting
NVMe for project files and asset libraries.

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Photogrammetry and GIS

Turning thousands of photos into 3D models stresses the processor in some steps and the graphics card in others, and uses a great deal of memory. Maps and large datasets in GIS are heavy on storage and memory.

Typical software

Agisoft Metashape Photogrammetry
RealityScan Photogrammetry
PIX4D Drone mapping
ArcGIS Pro GIS

What matters

Graphics: Critical
Dense-cloud and mesh steps run on the GPU. More video memory handles larger photo sets.
Processor: Important
Alignment and meshing use the processor. Good speed and a solid core count help.
Memory: Critical
Large photo sets and point clouds need a lot of memory.
Storage: Important
Fast NVMe for working data, plus capacity for image sets.

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AI and science

AI development and scientific computing

Running and training models is decided by graphics-card memory first: several cards at full PCIe speed let larger models fit. Scientific and numerical work scales with core count and memory bandwidth, and model size is limited by memory. System memory should be at least the size of the total video memory.

Typical software

PyTorch Training
Hugging Face Models
llama.cpp and Ollama Local LLMs
ComfyUI Image generation
MATLAB Analysis
Python data science Analysis
Ansys Simulation
Virtualization Proxmox, VMware

What matters

Graphics: Critical
GPU memory decides which models fit, and several GPUs let you run larger ones. Only some solvers use the GPU, so we check yours first.
Memory: Critical
System memory of at least your total GPU memory, ideally twice that. Large meshes may need 256 GB or more.
Processor: Critical
Solvers scale with core count and memory bandwidth, where Threadripper PRO helps. For AI work it mainly feeds the GPUs, so PCIe lanes matter more than raw speed.
Storage: Important
Large NVMe drives, since models and datasets fill space quickly, plus fast scratch space for solver files.

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