Flash-dLLM: IO-Aware Acceleration for Diffusion LLMs
September 21, 2026
Flash-dLLM is a training-free inference framework that optimizes KV caching and parallel decoding for Diffusion LLMs. It specifically targets GPU memory I/O bottlenecks that occur when combining cache reuse with parallel token verification.
HOW THIS AFFECTS YOU
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builderYou can significantly reduce inference latency and memory usage when deploying non-autoregressive dLLMs.