Services
AI workloads do not behave like web apps. GPU pools, model warm-up costs, batch versus real-time inference, and unpredictable token spend all break standard platform assumptions.
How it works
Container orchestration with model-aware scheduling.
Structured logging tuned for model and agent telemetry.
Cost telemetry per model call.
Operational runbooks your team needs at 02:00.
Built on Google Cloud by default; portable to other providers when policy or sovereignty demands it.
Output
A platform foundation in your cloud account, owned by you.
Cost dashboards at the workload and model-call level.
Runbooks for the most common production failures.
A handover document and on-call rotation training.
Cost: TBC — engagement-based
