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From the Synthr team
FeaturedEngineering
How We Cut AI Inference Costs by 70% with Semantic Caching
Most teams pay for the same AI computation over and over. Here's the architecture we built to stop that - and the surprising edge cases we had to solve.
MO
Maya Okonkwo
const saved =
totalCalls
* cacheHitRate
* costPerCall
// $3,550 / mo
Product5 min read
Announcing Synthr v2.0: One API for Every AI Model
After six months of private beta, Synthr v2.0 is publicly available. Here's everything that's new - and why we rebuilt the entire routing layer from scratch.
JP
James Park·April 15, 2025Engineering11 min read
Lessons from Processing 10 Million AI API Calls
After a year of running production AI workloads for hundreds of teams, here's what actually breaks, what the monitoring blindspots are, and how to build resilient AI features.
PS
Priya Sharma·March 22, 2025Guide7 min read
The Developer's Guide to Choosing the Right AI Model
GPT-4o vs Claude 3.5 Sonnet vs Gemini 1.5 Pro - they're not interchangeable. Here's a practical framework for picking the right model for your specific use case.
SR
Sofia Reyes·February 10, 2025