Speculative Decoding Techniques Like EAGLE-3 Accelerate AI Inference on Nvidia GPUs
Nvidia's latest advancements in speculative decoding are reshaping real-time AI performance. The technique slashes latency by enabling parallel token verification—allowing large language models to process multiple tokens per forward pass instead of sequential generation. Hardware utilization rates climb as idle cycles disappear.
At the core lies the draft-target approach: a smaller draft model proposes token sequences while a heavyweight target model validates them. Think of a senior researcher fact-checking an assistant's work—efficiency meets precision. EAGLE-3 pushes boundaries further with undisclosed optimizations, though Nvidia remains tight-lipped on specifics.