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

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

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

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

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

Google has introduced DiffusionGemma, an experimental open model designed to generate text faster by using a diffusion-based approach instead of the usual ...

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

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.

Designers, filmmakers, and game developers can now type a single sentence and receive a photorealistic image, a short ...