Inference Cost Reduction Sprint (7 days)

Who it's for

Your LLM bill keeps growing, latency is high, and you do not know which levers actually move cost.

What you get (deliverables)

A cost breakdown (model, context, tokens, concurrency) plus a prioritized plan you can implement immediately.

A patched serving config (vLLM/TGI/your stack) with tested settings.

A measurement sheet: before/after tokens, latency, dollars per request.

How we reduce cost

We reduce tokens first (prompt trimming, context control, RAG compression), then improve throughput (batching, caching), then optimize the model path (quantization or smaller model routing) if needed.

How it works (async)

After checkout, you get a 10-minute intake form. You share redacted logs/metrics and your current serving setup. We deliver: (1) cost breakdown, (2) patched config, (3) before/after measurement sheet within 7 days. Updates are async (email/Slack). Calls are not required.