DiffusionGemma generates text four times faster than standard autoregressive models by predicting tokens in parallel. This research from Google DeepMind replaces sequential token generation with a diffusion-based process. It reduces latency for high-throughput tasks. Practitioners can now explore non-linear generation paths to optimize inference speeds without sacrificing coherence in short-form text.