DiffusionGemma generates text up to 4x faster than traditional models by producing entire blocks simultaneously, achieving ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

Most AI models are designed to be autoregressive—they generate text left to right one token at a time. DiffusionGemma has ...

The boffins on Google’s DeepMind team unveiled an experimental new language model this week that uses techniques originally ...

DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...

Google has unveiled DiffusionGemma, a new experimental AI model that generates text using diffusion ...

Google DeepMind released DiffusionGemma on June 10, 2026, an experimental open-weights model that writes text using discrete ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.

Google has introduced DiffusionGemma, an experimental open-weight AI model that explores diffusion-based text generation.

Google releases DiffusionGemma, a 26B experimental open model delivering 4x faster text generation using diffusion.