DiffusionGemma generates text four times faster than traditional autoregressive models by predicting all tokens simultaneously. This research from Google DeepMind replaces sequential processing with a diffusion-based approach. It significantly reduces latency for high-throughput applications. Practitioners can now deploy faster inference pipelines without the typical bottlenecks of token-by-token generation.