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Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference - NVIDIA Developer

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developer.nvidia.com 2026-09-03

NVIDIA's latest developer article explores the use of speculative decoding to accelerate large language model (LLM) inference. This technique leverages a small draft model to predict multiple tokens, which are then verified in parallel by a larger target model, reducing total decoding iterations. Th

AI Model Co-Design Large Language Models Speculative Decoding GPU Optimization LLM Inference Acceleration NVIDIA Technology Model Parallelism Compute-Intensive Tasks

Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding - NVIDIA Developer

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developer.nvidia.com 2026-06-23

NVIDIA has introduced DFlash speculative decoding on its Blackwell platform, achieving up to 15x performance improvements in large language model (LLM) inference. By replacing traditional autoregressive draft models with a lightweight block-diffusion drafter, DFlash enables parallel block-level toke

AI Inference NVIDIA Blackwell Speculative Decoding DFlash LLM GPU Optimization Large Language Models Multi-agent Workflows

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