Solutions across compute, equipment and AI capability
Our three business lines can be engaged separately or combined. This page describes the typical scenarios and how the services fit together.
Discuss Your Requirements
Solution scenarios
AI Training and Inference
Compute capacity for model training, fine-tuning and inference workloads, configured according to project scale and duration.
- Capacity sized to the training or inference workload
- Support for mainstream frameworks and models
- Token services to complement self-hosted capacity
Enterprise IT Infrastructure
Servers, workstations and networking equipment supplied on a rental basis, so that infrastructure can be scaled without large upfront capital.
- Rental terms to match project cycles
- Deployment and configuration support included
- Capacity can be adjusted as requirements change
Digital Transformation
A combined approach for organisations moving workloads to modern infrastructure and adopting AI capabilities in stages.
- Infrastructure and AI capability planned together
- Phased rollout to manage budget and risk
- A single commercial contact across services
From requirement to delivery
Requirement discussion
Workload, scale, duration, compliance needs and budget.
Written proposal
Scope, configuration, service levels and commercial terms.
Contract signing
Terms documented before any deployment work begins.
Delivery and support
Deployment, configuration and ongoing technical contact.
Cooperation directions
We work with organisations of different sizes and stages. The starting point is always the actual workload and the actual constraint.
AI and Technology Companies
Compute capacity and token services for product development, model iteration and customer-facing AI features.
Research and Education
Capacity for research projects, laboratory work and teaching environments, with terms aligned to project timelines.
Enterprise IT Departments
Rental infrastructure for system upgrades, temporary capacity and project-based deployments.
Startups and SMEs
A lower-commitment route to production-grade compute and AI capability, without heavy capital expenditure.
Common questions
It depends on the workload. If you need to run or train models, start with GPU compute rental. If you need equipment on site, start with IT equipment rental. If you want to use model capabilities through an API, start with AI token services. The commercial team can help assess the fit.
Yes. Many engagements combine compute capacity with token services, or equipment rental with compute. A combined scope is discussed and documented in a single contract.
Through a discussion covering workload type, scale, duration, compliance needs and budget. The outcome is a written proposal describing scope, configuration and commercial terms.
Deployment and configuration support is included with equipment rental. Technical support scope for compute and token services is defined in the contract.
Tell us the workload, we will propose the fit
Share the project scope and timeline and the commercial team will respond with a written proposal covering configuration, service scope and terms.
Request a Proposal