DiffusionGemma generates text four times faster than standard autoregressive models. Google DeepMind achieved this by applying diffusion processes to discrete text tokens. This approach bypasses the slow token-by-token generation cycle. It offers a viable alternative for low-latency applications, though it remains an experimental research direction rather than a production replacement.