AI systems / Rubin

NVIDIA Rubin platforms.

Discuss Rubin-based GPU infrastructure and Vera Rubin system requirements for your capacity roadmap.

Configuration, availability, and commercial terms confirmed by quotation.

START WITH THE WORKLOAD

The right fit
starts with the details.

Infrastructure planning for organisations assessing Rubin-based AI platforms.

Deployment approach

Available supplier configurations, validated against the intended deployment window.

What we assess with you

  • Confirmed platform specification and delivery window
  • Facility, networking, and cooling requirements
  • Model-serving software and migration compatibility

Roadmap and sourcing enquiries are welcome. Listed platforms do not imply current stock, a guaranteed delivery date, or confirmed allocation.

FROM REQUIREMENT TO RUNNING SYSTEM

A clear scope, from the start.

  1. 01

    Translate your capacity roadmap into a system requirements brief.

  2. 02

    Confirm supplier offerings, prerequisites, and commercial availability.

  3. 03

    Plan migration, acceptance checks, and operational handover.

THE SERVICES AROUND YOUR HARDWARE

More than the compute.

Size & source

Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.

Supply & install

Coordinate hardware supply, delivery, rack or workstation installation, networking, and power and cooling prerequisites.

Configure local inference

Set up supported drivers, CUDA, containers, and serving engines such as vLLM, Ollama, or NVIDIA NIM where suitable.

Validate & support

Check the agreed workload, access controls, monitoring, and recovery procedures. Hand over documentation and scope ongoing support.

From ambition to action

Let’s size the possibilities.

Share your models, expected usage, budget, location, and target deployment window. We’ll confirm the right configuration and sourcing options.

Discuss this hardware