A GUIDE TO AI INFERENCE ENGINEERING

Summary from the TLDR AI newsletter

Inference engineering is the discipline of running trained AI models in production efficiently. It involves working with low-level GPU code, model serving frameworks, and the cloud infrastructure that ties them together. Engineers need to optimize for a combination of latency, throughput, cost, and quality, depending on the product they're supporting. Inference engineering is now a broad speciality that any company running serious AI workloads invests in.