AI GPU Infrastructure Advisory
Token Economics & Agent Optimization
Fewer wasted calls. More AI capacity.
Token economics and agent optimization reduces the tokens and calls AI agents spend for the same work: modeling how users and agents generate requests, then tuning execution, caching, batching, routing and precision against cost and latency.
What we advise
- Users, agents, requests and concurrency modeling
- Sequential versus parallel agent execution
- Prompt caching, batching and model routing
- FP precision and cost per million tokens
- Tokens/sec, P95 latency and utilization tuning
Fewer wasted tokens. More productive AI agents.
Workload-first / Vendor-neutral / Commercially optimized
Routing requests between models and providers is what prouter.io (opens prouter.io in a new tab) does.
Related solutions
AI Workload, Model & Inference Advisory
Workload discovery, model evaluation, precision and memory planning, and benchmark-driven GPU sizing.
AI Cloud Platform & Deployment Advisory
GPU IaaS, inference PaaS and Model as a Service, private AI clouds, orchestration, and go-live.
Infrastructure Economics, Capacity & Operations
Commercial models, CapEx, OpEx, TCO and ROI, utilization forecasting and capacity expansion.
Next step
Start with the workload.
Tell us what you need to run, where it has to run and what it can cost, and we will set out the options.