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AI Node Works
An open server rack with neat cabling beside a black tower workstation in a modern office server room at dusk

Own Your AI. Run It Your Way.

Start with your workload. We’ll help define the hardware, software and deployment.

Find Your AI SystemTalk to a Specialist

What are you building?

How it works

  1. Tell us your workload

  2. Indicative recommendation

  3. Compatibility check

  4. Build and burn-in

  5. Optional support

System families

From a single desk-side workstation to rackmount GPU servers, each configured to what you need to run.

  • A black tower workstation on a desk beside a monitor in a studio at dusk

    AI Workstations

    Desk-side systems for developers, researchers and creative teams.

    • Active-cooled professional GPUs
    • Office acoustics and power
    • Single or dual GPU
    Explore AI Workstations
  • A quiet server tower in the corner of an office at dusk, cabled to a wall port

    Local AI & Agent Towers

    Private LLM and always-on agent machines for small teams.

    • Sized to model, context and users
    • Remote access and logging
    • Runs in an office
    Explore Local AI & Agent Towers
  • An aisle of black server racks with rackmount servers and blue cabling

    Rack GPU Servers

    Rackmount systems for shared inference and fine-tuning.

    • Passive server GPUs with validated airflow
    • Redundant power options
    • Remote management
    Explore Rack GPU Servers
  • An unbranded professional graphics card on a dark surface

    GPUs & Components

    Professional GPUs and verified components, supplied or installed.

    • Workstation and server editions
    • Specs with sources and dates
    • Compatibility checked
    Explore GPUs & Components

How much VRAM does your model need?

Pick a model, a quantization, a context length and the number of people using it. The calculator works out the weights and the KV cache from the model’s own architecture, then suggests a hardware tier.

Open the VRAM calculator
Weights
Model size × bits per weight
KV cache
Layers × KV heads × head size × context × users
Headroom
Runtime buffers and a safety margin

Reference builds

All reference builds

The right system depends on more than the GPU

AI on hardware you control

Running models on your own systems keeps prompts and documents on infrastructure you manage, gives you a fixed hardware cost instead of per-token billing, and lets you choose your own models and update schedule.

Plan private AI
What you gain
Local processing, predictable cost, model choice, no dependence on a provider's limits.
What you take on
Power, cooling, updates, access control and someone responsible for keeping it running.
When cloud is better
Spiky or short-term workloads, and models too large to own economically.
How we help
Sizing, compatibility, burn-in, software setup and handover, scoped per project.

Common questions

Do you sell systems off the shelf?

No. Every system is configured to order. Tell us the workload and we recommend a configuration, then quote it. Prices and availability are on request.

How much VRAM do I need for a local LLM?

It depends on the model's size, the quantization you run it at, the context length and how many people use it at once. Our LLM VRAM calculator shows the working for your case.

Should I buy a workstation or a server?

A workstation suits one person or a small team at a desk. A rack server suits shared use, a server room and remote management. If you are unsure, the advisor suggests a category and explains why.

Can a server GPU go in a normal desktop PC?

Not safely as a rule. Passive server GPUs have no fans of their own and rely on high-pressure chassis airflow. We only install them in validated server chassis.

Is a local AI system more private than the cloud?

It can keep processing on hardware you control, which removes one category of risk. Security still depends on how the system is configured, accessed and maintained, and we plan that with you.

Tell us what you want to run.

Five questions, an indicative recommendation with the reasoning, and a specialist follows up. No obligation.

Find Your AI SystemSend an enquiry