A 26-billion-parameter model called DiffusionGemma generates text from noise rather than token-by-token. It hits 1,000 tokens per second on a single H100 GPU, outperforming autoregressive models by four times. However, output quality remains lower. Google positions the release as an experimental tool for developers to test non-traditional text generation.