SERVICES / AI & GPU INFRASTRUCTURE

Turn ambitious AI ideas into usable infrastructure.

Build and deploy AI-ready infrastructure for machine learning, GPU computing, and demanding workloads.

Build Your AI Infrastructure
AI & GPU Infrastructure
THE CHALLENGE

AI workloads place different demands on compute, memory, storage, and power. A hardware purchase alone does not create a usable environment.

OUR APPROACH

Plan the complete environment around your models, data, and development workflow. Evaluate GPU capacity, storage throughput, network design, and access before committing to a deployment.

  • Compute aligned with actual workload needs
  • A repeatable development environment
  • Visibility into capacity and operating costs
WHAT WE CAN HELP WITH

Practical capabilities.
A scope built for you.

We agree deliverables, responsibilities, and support options before implementation begins.

01

GPU workstation setup

02

AI development environments

03

GPU compute infrastructure

04

Machine learning environments

05

Workload sizing

06

Infrastructure optimization

WHERE IT FITS

Designed around
real business needs.

  • Creating an internal AI development environment
  • Evaluating local versus cloud GPU compute
  • Scaling from experimentation to shared infrastructure
TECHNOLOGY CONSIDERATIONS

The architecture follows the requirement.

GPU computeAI/ML runtimesHigh-throughput storageContainer environments

Platform selection, licensing, compatibility, and support coverage are confirmed during discovery. Technology names do not imply a vendor partnership.

THE WAY WE WORK

A clear path.
From first conversation to what’s next.

Good technology starts with understanding your business. Here’s how we bring it together.

01

Discover

Understand your goals, workloads, constraints, and existing technology.

02

Design

Build a practical roadmap with a clear scope, architecture, and priorities.

03

Implement

Deploy, configure, and validate the solution against agreed requirements.

04

Support

Document the environment and provide ongoing help where agreed.

A FEW USEFUL ANSWERS

Before we get started.

How do we define the scope?

We review your current environment, intended workloads, business priorities, and constraints. We then agree a scope for ai & gpu infrastructure, including deliverables and responsibilities.

Can you work with our existing environment?

The starting point is an assessment of your current systems. We identify what can be retained and where changes may be needed, before recommending an approach.

Is ongoing support available?

Support can be discussed as part of the engagement. Coverage, hours, response expectations, and service responsibilities are agreed in writing.

How is pricing determined?

Pricing depends on the scope, environment, complexity, licensing, and support requirements. A consultation helps us prepare a relevant proposal.

LET’S MOVE FORWARD

Build Your AI Infrastructure

Let’s discuss your business requirements and explore how SetupBoxs can help.

Schedule a Consultation