Two different tricks for fast LLM inference
Summary
The article compares fast inference modes from Anthropic and OpenAI, explaining that Anthropic uses low-batch-size inference for higher throughput with real Opus 4.6, while OpenAI leverages Cerebras hardware to run a faster but smaller Spark model. It delves into the memory and batching tradeoffs behind latency and throughput, argues about model fidelity versus speed, and assesses the practical impact for developers and businesses.