8-GPU AI compute node for company-wide private AI

Run agents, several models side by side and fine-tuning for the whole company on one machine you own, with RBOS Studio ready on day one. Renderboxes can help you put powerful local AI compute to work.

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Renderboxes Molecule Air workstation on castors, front view

The possibilities with private, local AI

Private team chat

Draft, summarise and analyse in a browser.

Your team works with AI on a machine you own, on your own network.

Ask your own documents

Your files answer back, with sources.

Contracts, briefs, manuals and project files, searched and summarised without leaving the building.

Private AI agents

Agents and coding assistants that stay in-house.

Agentic AI workflows and a coding assistant for your developers, working on your files without sending them anywhere.

Meetings, transcribed in-house

Recordings into notes and actions.

Transcription and summaries without uploading calls to a third party.

The newest open models

Cutting-edge open-weight models, on your hardware.

Run the latest open models, which now compete with the leading cloud services, or a fast everyday model alongside a flagship.

Hybrid, on your terms

Local first, cloud only when it counts.

Send only the hardest tasks to a frontier cloud model, with names, numbers and confidential details masked before anything leaves.

Local AI capabilities, model support and performance vary by model, configuration, software and workload.

RBOS Studio welcome screen on a Renderboxes machine: your machine is ready

Protect your business

We can help you build AI workflows that protect your business.

  • Help keep your data secure. Prompts, documents and answers are processed on your own hardware, on your own network. Nothing is retained by an AI provider and nothing trains someone else’s model.
  • Your identity, protected. Personal and confidential details can be masked automatically at every exit, so only what is safe to send ever leaves the building.
  • A record you own. Every request and action can be logged to a tamper-evident audit trail on your own disks, which helps you meet client confidentiality and GDPR obligations.
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Reduce token costs

PREDICTABLE COSTS FOR THE WHOLE TEAM

Replace per-seat AI subscriptions and usage-based token fees with a fixed cost for on-premises compute your whole team can share. Workflows can be set up to check your own knowledge before a paid cloud call, and any cloud use can be capped, with a kill switch that you control.

RBOS Studio models directory: AI models your team can run on your own machine

Ready on day one: RBOS and RBOS Studio

Skip the weeks of set-up. RBOS and RBOS Studio can come preloaded, configured and tested together, so your team starts on the work, not the software.

  • One-click workflows. Runbooks set up team chat, document search, coding assistants, transcription and model serving with step-by-step guidance.
  • Your team gets simple, IT keeps control. Everyone works in a browser on your network, while admins decide who can use what and every action is logged.
  • Change it as your work changes. Add or remove workflows at any time, with no endless tweaking.
  • See every GPU at work. Assign workflows to GPUs and see what each one is doing.
ABOUT RBOS

Works with the software you use

We can set up, test and support popular AI software on your machine before it ships, including:

Open WebUI · Ollama · llama.cpp · LM Studio · vLLM · SGLang · ComfyUI · PyTorch · Jupyter · LLaMA Factory · Hugging Face Transformers

Using something else? Tell us and we will help you make it work.

NVIDIA RTX PRO 6000 Blackwell and AMD Radeon AI PRO R9700 graphics cards

AMD or NVIDIA: your choice

We build private AI systems on AMD Radeon AI PRO and NVIDIA RTX PRO Blackwell GPUs, and RBOS sets up either, or both in one machine.

  • AMD Radeon AI PRO. More GPUs for the money: run several everyday models side by side, one per GPU, for a team.
  • NVIDIA RTX PRO 6000 Blackwell. 3× the VRAM per GPU, for flagship open models, the longest documents and more people at once.
  • Not sure? Tell us what your team wants to do and we will recommend the right mix.
SEE THE BUILDS

Recommended builds

Front view of the Molecule Air Workstation 8 GPUs, built for teams
NVIDIA

8-GPU private AI – NVIDIA

Molecule Air · 8x NVIDIA RTX PRO 6000 Max-Q 96GB

768GB VRAM for flagship open models, long documents and more people at once.

  • CPU: AMD EPYC 9575F 64 Core
  • RAM: 24 × 64GB RDIMM ECC DDR5 6400
  • PCIe slots: 8 × Nvidia RTX Pro 6000 Blackwell Max-Q 96GB
  • U.2 Storage: 2 × Micron 9550P 15.36TB U.2 NVMe
  • Operating System: RBOS Ubuntu LTS

£238,270.22 inc VAT

£198,558.61 ex VAT

Built to order · dispatched in 14 working days

Front view of the Molecule Air Workstation 8 GPUs, built for teams
AMD

8-GPU private AI – AMD

Molecule Air · 8x AMD Radeon AI PRO R9700 32GB

256GB VRAM: run several everyday models side by side, one per GPU.

  • CPU: AMD EPYC 9375F 32 Core
  • RAM: 24 × 32GB RDIMM ECC DDR5 6400
  • PCIe slots: 8 × AMD Radeon AI PRO R9700 32GB
  • U.2 Storage: 2 × Micron 9550P 15.36TB U.2 NVMe
  • Operating System: RBOS Ubuntu LTS

£91,103.82 inc VAT

£75,919.86 ex VAT

Built to order · dispatched in 12 working days

Each recommended system is a starting point. Select Customise to add components or change the specification before you order.

Molecule Air from above with the lid and fan cage removed, showing eight GPUs side by side

Inside the Molecule Air: eight GPUs at full speed

  • Eight GPUs, each on its own full PCIe Gen5 x16 link through the Renderboxes daughterboard, wired directly to the motherboard with no riser cables.
  • Dual AMD EPYC processors and up to 3 TB of ECC memory.
  • 55 dBA at 2 m with eight GPUs1, on castors, for an office or a quiet room.
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  1. 1Measured with a handheld sound level meter at 2 m with 8 GPUs fitted, in our workshop, where the noise floor is about 40 dBA.

The machine underneath

  • 768GB VRAM2
  • 8× the GPUs and VRAM of a Photon3
  • Dual AMD EPYC processors
  • 3 years parts warranty4
  1. 2In the largest build here, with NVIDIA RTX PRO 6000 Blackwell GPUs. Total VRAM depends on the GPUs specified.
  2. 3Compared with a single-GPU Photon fitted with the same GPU. Real-world performance varies by model, configuration, software and workload.
  3. 4Plus 1-year return-to-base labour and 3 years of technical support.

Scale up as your team grows

Front view of Renderboxes Atom Workstation

2-GPU private AI

The Atom: 2× the GPUs and VRAM of a Photon5, for a team getting started with private AI.

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Front view of Renderboxes Nano Pro Workstation

4-GPU private AI

The Nano Pro: 4× a Photon, desk-side, for heavier models and more people at once.

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Front view of the Renderboxes Molecule Air workstation

8-GPU AI compute node

The Molecule Air: 8× a Photon, for whole-company AI, agents and fine-tuning.

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Front view of Renderboxes Atom Rack Workstation

Rack-mount AI server

The Atom Rack: 2× a Photon, for the server room.

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  1. 5Compared with a single-GPU Photon fitted with the same GPU, counting GPUs and total VRAM. Real-world performance varies by model, configuration, software and workload.
A Renderboxes engineer screwing down an NVIDIA RTX PRO 6000 graphics card

Why Renderboxes

  • Engineered for demanding AI work. Built and stress-tested in the UK for generative AI, agents, document search and fine-tuning, running all day.
  • Software ready. RBOS and RBOS Studio prepared for your AI work before delivery.
  • Secure and reliable. Your models and data on hardware you own, supported by the people who built it.
  • Future-proofed. Upgrade GPUs, memory and storage as your work grows, or move up to four or eight GPUs.
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Frequently asked questions

We measured 55 dBA at 2 m with eight GPUs fitted, using a handheld sound level meter in our workshop, where the noise floor is about 40 dBA.

The NVIDIA RTX PRO 6000 Blackwell Max-Q, up to eight of them, or the AMD Radeon AI PRO R9700.

No. RBOS Studio runs in a browser, and Runbooks guide you through set-up step by step. We can also set the machine up for your workflows before it ships.

Not unless you choose to. Everyday work runs on the machine. If you use a cloud model for harder tasks, personal and confidential details can be masked before anything is sent.

It can. You could keep the machine for private and everyday work and use a cloud model only for the hardest tasks, with spending capped. We can help you set that up.

That depends on your workflows and how heavily they are used. Tell us about your team and we will size the machine for it.

AMD gives you more GPUs for the money and suits several everyday models running at once. NVIDIA gives the most VRAM per card, for flagship models and the longest documents.

Yes. We keep developing new workflows, and if you need one we do not list, talk to us and we will help you make it work.

Yes. Select Customise and the configurator opens with this build already selected.

Tell us what you’d like your team to do with private AI

Tell us what the company wants to do with private AI, how many people will use it, where the machine will sit and what has to stay confidential, and we will recommend the right build.

This field is for validation purposes and should be left unchanged.

Talk to someone at Renderboxes

Not sure which build is right? Speak to our team and we will help you choose the right configuration for your work.

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Request a callback

Book a time that suits you and one of our team will call you.

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Tell us what you are working on and we will recommend a configuration.

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Call us for instant support

0800-955-RNDR (7637)

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