Redesigning the Inference Chip: From Nvidia GPU Flaws to OpenAI Jalapeno

A technical analysis examines Nvidia GPU architectural limitations for inference workloads and contrasts them with OpenAI's custom inference chip design, referred to as Jalapeño. The piece covers tradeoffs around memory bandwidth, compute density, and transformer-specific operations. It argues that purpose-built inference silicon can substantially outperform general-purpose GPUs for large language model serving.