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AI infrastructure and private model hosting

Run AI workloads on infrastructure you control: GPU capacity, private model hosting, an AI gateway and token cost controls.

Typical timing
8–14 weeks
Engagement
Fixed scope, then retainer
Delivery framework
User researchDiscoveryAlphaBetaLive
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Objective

Build the infrastructure layer for enterprise AI: a governed gateway in front of every model, private hosting where data cannot leave your control, right-sized GPU capacity, and cost controls on token spend — so teams can build with AI without each inventing their own stack.

You may need this if

  • Teams are calling public AI APIs with no central control
  • Sensitive data means some models must run privately or in-country
  • GPU costs or token bills are unpredictable
How it runs

Activities, step by step

The plan follows our delivery framework. Steps that do not apply to this kind of work are left out rather than padded.

  1. 02 · Discovery2 weeks

    Workload and constraint mapping

    • AI use cases, data sensitivity and latency needs catalogued
    • Build, buy and host options compared
    • Capacity and cost modelled per use case
  2. 03 · Alpha3–5 weeks

    AI gateway and hosting

    • AI gateway with routing, rate limits, logging and guardrails
    • Private model hosting on cloud GPUs or on-premises
    • Identity and data-access controls for models
  3. 04 · Beta2–4 weeks

    Production readiness

    • Load, failover and security testing
    • Token and GPU cost dashboards and budgets
    • First production use cases onboarded
  4. 05 · LiveOngoing

    Operate

    • Model updates evaluated before rollout
    • Capacity scaled with demand
    • Cost per use case reported

Deliverables

What you keep at the end.

  • AI gateway in production
  • Private model hosting platform
  • Capacity plan and cost model
  • Usage, cost and safety dashboards
  • Operating runbooks

Outcomes

What it is built to change.

  • Every AI call governed, logged and attributable
  • Sensitive workloads kept in your control
  • Predictable AI infrastructure costs

Often combined with

Every engagement starts with a 45-minute working session with the SME who would own the work. No deck.

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