Specialised workstations
For work that outgrows one graphics card or one desk: multi-GPU rendering and AI, large scenes and datasets, and matching machines for whole teams. Hand-built in our Seven Hills workshop and configured around your software, data and budget.
The platforms
Each platform is a starting point. Tell us what you run and we’ll adjust the configuration to suit before we build.
Before we quote, we ask three things: what software you run, how big your projects or datasets get, and where the machine will live. Those answers shape the build more than any benchmark does.
We size to the job. If a single-GPU workstation will do the work, that is what we’ll recommend.
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Dual-GPU
CORE FOCUS
Two graphics cards in one tower
Two RTX 5060 Ti 16GB cards give 32GB of graphics memory across the pair. Renders and training runs that split across cards finish sooner, and you can leave one card driving your screens while the other works.
Suited to
GPU render queues. Path-traced renderers such as Blender Cycles, Redshift and Octane can split frames across both cards.
Fine-tuning and local AI models that outgrow one 16GB card but don’t need a server.
Working while it renders, with your screens on one card and the job on the other.
- Processor
- AMD Ryzen 9 9950X3D
- Graphics
- 2x ASUS GeForce RTX 5060 Ti Prime OC - 16GB (32GB VRAM)
- Memory
- 64GB Lexar THOR G2 RGB (2x32GB) 6000MHz DDR5 - Black
- Price
- $6,199
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RTX 5090 · 128GB memory
ECHELON
One card, the most memory
When a scene, simulation or model has to fit on a single card, memory matters more than card count. ECHELON pairs an RTX 5090 with 32GB of graphics memory and 128GB of system memory.
Suited to
Large single scenes in tools that render or simulate on one GPU, where a second card adds little.
Big datasets and long timelines that need plenty of system memory.
Viewport-heavy work in CAD, 3D and video, which runs on one fast card and the processor.
- Processor
- AMD Ryzen 9 9950X3D2
- Graphics
- GIGABYTE GeForce RTX 5090 GAMING OC - 32GB
- Memory
- 128GB Lexar THOR G2 RGB (4x32GB) 6000MHz DDR5 - Black
- Price
- $20,499
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Multi-GPU · quoted per build
Custom multi-GPU
Built around your model or render farm
Past two cards, the platform matters as much as the graphics cards: enough PCIe lanes to feed every card, and the power and airflow to keep them running for hours. We spec these builds around your software, data size and number of users, then quote.
Suited to
Training or rendering most working days, where owning the hardware can cost less than renting it by the hour.
Models or scenes too large for one card, split across several.
Data that has to stay on your premises for privacy or contract reasons.
- Graphics
- Multiple GPUs, sized to the workload
- Platform
- Chosen for PCIe lanes, power and cooling
- Price
- Quoted per build
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Multi-unit
Team builds
Matching machines for a studio, lab or office
The same configuration built several times, so every seat runs the same software the same way. Multi-unit orders get volume pricing, and every system has our three-year parts and labour warranty and free lifetime remote support.
Suited to
Studios and labs that need every seat on one spec.
Schools and training rooms set up for the same software.
Express courier Australia-wide, or pick-up from our Seven Hills workshop.
- Warranty
- 3 years parts and labour
- Support
- Free lifetime remote support
- Pricing
- Volume pricing on multi-unit orders
Not sure which platform fits?
Send us the software you use, how big your projects get and where the machine will sit. We’ll reply with a suggested configuration and a quote. If a single-GPU workstation does the job, we’ll tell you.
Our hardware partners
The component brands we build with, the same partners shown across the Nebula site.
Multi-GPU, explained
How we decide whether more graphics cards will help. It holds wherever you end up buying.
What scales across cards, and what doesn’t
GPU path-traced rendering and data-parallel training split well: two cards get close to twice the throughput. Editing timelines, CAD viewports and interactive work on a single scene mostly run on one GPU and the processor, so a second card adds little. Which of these fills most of your day is the first thing we ask.
Graphics memory is a ceiling, not a speed
A model or scene either fits in a card’s memory or it doesn’t. When it doesn’t, the job fails or falls back to system memory and slows right down. In most software two cards don’t add their memory together: a 20GB scene needs 20GB on each card. That’s why we ask about model and scene sizes before core counts, and why a card with more memory often beats a faster one with less.
More cards is a platform decision
Desktop processors have a limited number of PCIe lanes, so past two cards the processor and motherboard decide whether each card gets full bandwidth. Power delivery and airflow decide whether they can all run flat out for hours. On larger builds the platform is usually a bigger decision than the cards themselves.
GeForce or workstation cards
GeForce cards give the most performance per dollar and suit most rendering and AI work. Workstation cards earn their price when your software needs certified drivers, when a job needs more memory per card, or when several cards sit close together under constant load. The GeForce RTX 50 series doesn’t support NVLink, so multi-GPU software talks over PCIe. We choose by workload, not by tier.
Checked before it ships
Every system is hand-assembled in our Seven Hills workshop, loaded with current drivers and put through our quality-control check before dispatch. If the machine will run flat out overnight, tell us, and we’ll spec the cooling and power supply for that from the start.
Questions about your own workload? We’d rather talk it through before you commit to a configuration.
Talk to a specialist
The quickest route to the right spec is a short conversation about your software, your data, where the machine will sit and how many people will use it.
- New systems, custom builds and multi-unit orders
- Hand-built and checked in our Seven Hills workshop
- Email replies within one business day