Slow p95 and p99 · Rising GPU spend · Wrong model routing · Inefficient batching and caching

What We Solve

Make AI features economically durable.

Response time, serving efficiency, and infrastructure discipline decide whether the feature survives scale.

Serving architecture review · Optimization plan · Profiling visibility

What You Get

Serving architecture review. Optimization plan. Profiling visibility.

Serving architecture review for latency, throughput, and cost behavior.

Serving architecture review for latency, throughput, and cost behavior

Optimization plan across routing, batching, caching, and hardware placement

Profiling visibility for tokens, requests, queues, and utilization

Rollout strategy for safer scaling and performance regression control

Serving Stack · Performance and Cost · Typical Outputs · Business Fit

Coverage and Delivery

Serving Stack covers model serving architecture and engine selection · Batching, caching, concurrency, and queue behavior · Quantization and runtime optimization paths · Model routing, fallback…

Serving Stack Model serving architecture and engine selection

Performance and Cost GPU and CPU placement strategy

Typical Outputs Serving and routing architecture map

Business Fit AI products approaching production scale

Contact

Start the Conversation

A few clear lines are enough. Describe the system, the pressure, the decision that is blocked. Or write directly to midgard@stofu.io.

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