Category: Performance

Semantic Caching for AI: Reducing Latency and Cost with Meaning-Based Retrieval

Every repeated question your AI system answers is money spent and latency incurred that you did not need to. If a thousand users ask the same question in a week, running it through the language model

Performance Engineering for GenAI Inference: Batching, Caching & Quantisation

A startup's GenAI application cost $0.42 per query at 15-second latency. At this rate, their Series A funding would last six months. The problem wasn't the model—it was unoptimized inference. Each req