Technology · Cloud & AI Infrastructure
HyperScale Inference Cloud
Re-architected a GenAI startup's inference stack — right-sized GPUs, aggressive caching, and edge routing without a minute of downtime.
▲ 44% inference cost cut
Illustrative engagement — representative of what our AI-equipped delivery model makes possible.
The Challenge
A GenAI startup's inference bill was growing faster than revenue: over-provisioned GPUs, no caching strategy, and every request hitting the most expensive model.
What We Built
We re-architected the serving stack: right-sized GPU pools with autoscaling, semantic caching in front of the models, request routing by complexity, and edge deployment for latency-sensitive paths — migrated live, without downtime.
The Results
- 44% inference cost reduction
- p95 latency down 38%
- Zero downtime through the migration
Ready to Put AI to Work?
Tell us about your business and we'll show you exactly where autonomous AI can move the needle — in a free 30-minute strategy call.
- Human-supervised AI
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