R&D and creation on a dedicated workstation
Design, model tuning and content production can use the whole machine instead of sharing it with everyday apps.
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Private AI workstation
A dedicated workstation for professional models, content and R&D, sized for VRAM, sustained load and noise requirements: personal productivity and a professional DCP compute node.
Customer value
Professional models and long jobs
A dedicated workstation suits model inference, content production and R&D that need more GPU memory, configured for sustained load.
Sized to budget and noise limits
Choose between two workstation GPUs and review cooling and chassis so your noise requirement becomes a selection criterion.
A professional compute node
Beyond personal productivity, the workstation can serve as a professional DCP node once you authorize it.
Core technology
RTX 6000 Ada 48GB or RTX PRO 6000 Blackwell 96GB workstation GPUs, with integrated models, storage and cooling.
- Two GPUs: RTX 6000 Ada 48GB and RTX PRO 6000 Blackwell 96GB, both workstation-class cards.
- Model environment, storage and cooling are designed together for sustained inference, content production and R&D workloads.
- Multi-GPU builds are designed and validated separately; the memory of several cards does not merge automatically into one larger pool.
Where it fits
A DCP node alongside Mirror Realm boxes
The workstation can sit with Mirror Realm boxes in a multi-node setup. Whether and how much it joins network workloads is your authorization to give.
How it comes together
Start from the workload, then fix the hardware.
- Describe model size, GPU memory need and daily running hours
- Choose GPU, cooling and chassis, and confirm noise requirements
- Install the model environment and test with real tasks
- Decide whether to authorize DCP participation
Delivery and acceptance
- Test sustained load, noise, power and models; validate multiple GPUs separately. VRAM does not merge automatically.
- The acceptance record lists the GPU, driver and model versions that were tested.
Configuration scope · Questions
Configuration scope
- Only the RTX 6000 Ada 48GB and RTX PRO 6000 Blackwell 96GB workstation GPUs are offered; this is a different configuration from the Mirror Realm box.
- Noise, power draw and placement are reviewed during selection; no fixed noise level is assumed.
- Storage, system memory and the model environment are set around your tasks.
- Price, schedule and service scope are confirmed in the proposal.
How do I choose between RTX 6000 Ada and RTX PRO 6000 Blackwell?
Start with memory need and budget: 48 GB versus 96 GB. The final choice follows how your own models perform in testing.
Can several GPUs combine their memory?
Not automatically. Multi-GPU builds are validated separately, and whether a model can span cards depends on the software and model used.
Can you guarantee it will be quiet?
We do not promise a noise level in advance. It is a requirement we check during selection and acceptance.
Product and application concepts, not equipment photographs or delivered customer cases.