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GOOGLE'S DIFFUSIONGEMMA GENERATES TEXT 4X FASTER

Google released DiffusionGemma, a 26-billion-parameter open model that generates text through diffusion rather than token-by-token prediction, achieving roughly 1,000 tokens per second on a single H100 GPU. The approach trades speed for output quality, positioning it as an experimental tool for developers.

4 SOURCESFIRST SEEN JUN 9, 10:46 AM► READ THE ARTICLE
Hacker News+0m

Article URL: https://staniks.github.io/articles/catlantean-3d-blog-1/ Comments URL: https://news.ycombinator.com/item?id…

Hacker News+1d 5h

Article URL: https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/ C…

The Decoder+1d 8h

Google released DiffusionGemma, a 26-billion-parameter model that generates text not token by token but through diffusio…

Ars Technica+1d 8h

Diffusion AI is most common in image generation, but it can make text outputs much faster.