NVIDIA: DFlash block diffusion accelerates autoregressive LLMs

The blog post discusses how NVIDIA's DFlash block diffusion technology can enhance autoregressive large language models (LLMs) during inference, especially in latency-sensitive applications. It highlights the limitations of sequential execution in LLMs and the potential improvement in throughput and GPU utilization by utilizing speculative decoding strategies.