Explore large datasets
Interactively, not overnight.
Query, filter and visualise large datasets on the GPU as you think.
Workstations for research AI and data science
Interactively query, visualise and explore your data, and train and test models, on a workstation you own with your datasets kept on your premises. Renderboxes can help you put powerful local AI compute to work.
The possibilities with private, local AI
Notebooks for everyone
Ready to use on day one.
Each researcher gets notebooks with GPU access, set up by Runbooks.
Train and test models
From idea to result on one machine.
Build, train and evaluate models next to the data they learn from.
Sensitive data stays put
Built for confidential research.
Medical, commercial and personal data stays on hardware you own.
Share the machine
Fair access for the group.
Give each person their own GPUs, or split GPUs into isolated slices.
Room to grow
More GPUs as the work grows.
Move from one GPU to eight without changing how you work.
Local AI capabilities, model support and performance vary by model, configuration, software and workload.
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.
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.
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.
Works with the software you use
We can set up, test and support popular AI software on your machine before it ships, including:
JupyterLab · RAPIDS · PyTorch · Dask · scikit-learn · Python
Using something else? Tell us and we will help you make it work.
Built on NVIDIA RTX PRO Blackwell
These workflows rely on the NVIDIA software ecosystem, so we build them on NVIDIA RTX PRO Blackwell GPUs, with up to 96GB of VRAM on each card.
- The broadest software support for creative, training and research AI tools.
- Workstation-class GPUs built for sustained load, all day.
- Room to grow from one GPU to eight as your work does.
Recommended builds
Research – Standard
Photon · NVIDIA RTX PRO 5000 48GB
48GB VRAM, for one person getting started.
- CPU: AMD Ryzen 9 9950X3D
- RAM: 128GB DDR5 6000 2x64GB
- PCIe Slot: Nvidia RTX Pro 5000 Blackwell 48GB
- NVMe Storage (Gen 5.0): Samsung 9100 Pro Gen 5 4TB
- Operating System: Microsoft Windows 11 Pro
£15,030.19 inc VAT
£12,525.16 ex VAT
Built to order · dispatched in 10 working days
Research – Heavy
Atom · NVIDIA RTX PRO 6000 Workstation Edition 96GB
96GB VRAM, for one person working with the largest models.
- CPU: AMD Ryzen Threadripper 9970X 32 Core
- RAM: 4 × 64GB RDIMM ECC DDR5 6400
- PCIe slots (16x): Nvidia RTX Pro 6000 Blackwell Workstation 96GB
- NVMe M.2 Drives (Gen 5): Samsung 9100 Pro Gen 5 2TB
- NVMe M.2 Drives (Gen 5): Samsung 9100 Pro Gen 5 8TB
- Operating System: RBOS Ubuntu LTS
£36,645.15 inc VAT
£30,537.64 ex VAT
Built to order · dispatched in 11 working days
Research – Studio
Atom · 2x NVIDIA RTX PRO 6000 Max-Q 96GB
192GB VRAM across 2 GPUs, for a small team.
- CPU: AMD Ryzen Threadripper 9970X 32 Core
- RAM: 4 × 128GB RDIMM ECC DDR5 6400
- PCIe slots (16x): 2 × Nvidia RTX Pro 6000 Blackwell Max-Q 96GB
- NVMe M.2 Drives (Gen 5): Samsung 9100 Pro Gen 5 2TB
- NVMe M.2 Drives (Gen 5): Samsung 9100 Pro Gen 5 8TB
- Operating System: RBOS Ubuntu LTS
£68,450.43 inc VAT
£57,042.04 ex VAT
Built to order · dispatched in 11 working days
Research – Team
Molecule Air · 8x NVIDIA RTX PRO 6000 Max-Q 96GB
768GB VRAM across 8 GPUs, for the whole team.
- 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
Each recommended system is a starting point. Select Customise to add components or change the specification before you order.
Inside the Atom
- Two GPUs in a desk-side chassis on castors.
- AMD Ryzen Threadripper and up to 1 TB of ECC memory.
- Cooling engineered for sustained AI work, all day.
The machine underneath
- 1In the largest build here, with NVIDIA RTX PRO 6000 Blackwell GPUs. Total VRAM depends on the GPUs specified.
- 2Plus 1-year return-to-base labour and 3 years of technical support.
Scale up as your team grows
2-GPU private AI
The Atom: 2× the GPUs and VRAM of a Photon3, for a team getting started with private AI.
Explore
4-GPU private AI
The Nano Pro: 4× a Photon, desk-side, for heavier models and more people at once.
Explore
8-GPU AI compute node
The Molecule Air: 8× a Photon, for whole-company AI, agents and fine-tuning.
Explore
- 3Compared 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.
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.
Frequently asked questions
Yes. Runbooks can set up notebooks with GPU access for each user, managed from RBOS Studio.
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.
Many of the tools behind these workflows are built for NVIDIA first, so we build them on NVIDIA RTX PRO GPUs for the widest software support.
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 about your datasets, the tools you use and how many researchers will share the machine, and we will recommend the right build.
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.
Send us an enquiry
Tell us what you are working on and we will recommend a configuration.
Contact us