Google DiffusionGemma Breaks the Language Model Speed Bottleneck

Decoding is the sequential bottleneck that determines latency in large language model deployment. DiffusionGemma tackles this by replacing token-by-token generation with parallel block refinement, achieving 4x faster inference on high-end hardware. This breakthrough makes real-time, cost-effective language model inference at scale significantly more practical.