DiffusionGemma generates text four times faster than traditional autoregressive models. By treating text generation as a diffusion process, Google DeepMind reduces the computational overhead of token-by-token prediction. This approach enables high-throughput inference. Practitioners can now deploy faster text generation pipelines without sacrificing the quality of the output.