Speculative Decoding in Production: Accelerating LLM Inference Without Sacrificing Accuracy
Large Language Model inference is notoriously memory-bandwidth bound. Generating text token-by-token requires loading billions of model parameters from High Bandwidth Memory (HBM) into SRAM for every single generated token, causing low GPU compute utilization.


















