PRIMESCIENCE & TECHNOLOGYContact Us

SERVICE AREA

AI Infrastructure & GPU Computing

Project-based assessment of AI workloads, deployment architecture and GPU platform options. The work connects models, data, software and operating requirements; hosted GPU computing is a planned extension with availability and terms still to be confirmed.

Generic compute hardware and cooling components.

AI infrastructure and feasibility assessment can be scoped by project. GPU hosting is planned; hardware availability, deployment location and delivery timing require separate confirmation.

WHEN THIS SERVICE FITS

Business needs & intended audience

An AI initiative needs a feasible architecture, an appropriate compute option and a realistic plan for data access, integration, evaluation and operations.

  • Enterprise teams evaluating AI adoption
  • Application teams planning inference workloads
  • Organizations assessing GPU infrastructure options

SCOPE & DELIVERY

What the engagement covers

Service scope

  • Use-case, model, data and workload requirement assessment
  • Comparison of managed AI services, cloud GPU options and dedicated systems
  • Capacity planning and selection criteria for GPU, networking and storage options
  • Infrastructure dependency review covering deployment environment and operating requirements
  • Separate feasibility and resource assessments for inference, fine-tuning and training workloads
  • Evaluation plan and implementation roadmap for the agreed workload scope

Expected deliverables

  • Workload and architecture assessment
  • Platform comparison and deployment considerations
  • Capacity planning and infrastructure selection criteria
  • Evaluation criteria, dependency register and proposed implementation roadmap

DEPLOYMENT & ENGAGEMENT

Define the environment and operating model.

  • Customer cloud account or selected managed AI service
  • Provider-hosted GPU environment subject to availability and agreement
  • Customer-site or dedicated infrastructure following technical assessment

SHARED RESPONSIBILITIES

Clear ownership before work begins.

Customer responsibilities

  • Define the use case, evaluation criteria and budget
  • Provide authorized data and confirm model and software usage rights
  • Approve the deployment environment and operating requirements

Prime Science responsibilities

  • Assess workload requirements and architecture options
  • Identify dependencies and define an agreed evaluation plan
  • Prepare recommendations and coordinate the scoped implementation work

Cloud / infrastructure provider responsibilities

  • Confirm platform availability and the contracted configuration
  • Supply compute or infrastructure under its own service terms
  • Define platform support, access, licensing and operating constraints

HOW WE WORK

A clear path from requirements to operation.

Each engagement starts with a defined scope. Delivery and operational responsibilities are agreed before implementation.

  1. Assess requirements

    Assess the business goal, users, existing systems and the decisions the project must support.

    OUTPUT

    Agreed requirements and initial scope

  2. Design the architecture

    Compare architecture and provider options, review dependencies and assign customer, service and provider responsibilities.

    OUTPUT

    Architecture, responsibility matrix and delivery plan

  3. Implement and validate

    Implement the contracted scope and evaluate it with agreed business, technical and acceptance criteria.

    OUTPUT

    Project deliverables and acceptance results

  4. Deploy, operate and hand over

    Prepare deployment, documentation and operating procedures. Provide ongoing operations only within the agreed contract scope, with a defined handover and escalation plan.

    OUTPUT

    Deployment, operations and handover plan

Explore other service areas

SaaS Development & Integration

Develop business applications and connect them to the systems you use.

Based on existing application development and system integration capabilities. Each application is scoped as a project; no proprietary SaaS product catalog is offered here.

Explore service

Managed Cloud Services

Plan cloud operations around the applications and data your business depends on.

The expanded managed cloud offering is in development. Availability, support hours, response commitments and service levels will be defined in a separate agreement.

Explore service

Cloud Procurement & Subscription Support

Turn cloud requirements into a clear provider and subscription decision.

Procurement and subscription support is being developed. Any purchasing arrangement or provider authorization must be confirmed for the specific engagement.

Explore service

LET’S CONNECT

Discuss this service in the context of your project.

Discuss your systems, desired outcomes and delivery constraints. We will assess the scope and agree a practical next step.

Project inquiry

For enterprise software, cloud services or AI infrastructure assessment.

Discuss your requirements

Supplier collaboration

For cloud providers, infrastructure suppliers and technology delivery partners.

Discuss supplier collaboration