Speculative Decoding reduces inference costs by 40 percent in recent benchmarks

New benchmarks indicate speculative decoding can cut token generation latency by half when pairing small draft models with larger targets. This technique allows businesses to maintain output quality while significantly reducing compute expenditure during high-throughput tasks. However, speedups vary depending on the semantic similarity between the draft and target models.