DiffusionGemma Puts NVIDIA H100 Through Its Paces With Parallel Decoding

Google's 26B model delivers up to 1,000 tokens per second on the flagship GPU, turning a research release into fresh evidence of sustained demand for high-bandwidth inference hardware.

Google posted a July 10 blog entry that positions DiffusionGemma as a 26B-parameter mixture-of-experts system built on diffusion rather than next-token prediction. The approach generates multiple tokens in parallel and allows the model to revise earlier choices, a departure from the sequential constraints that have defined autoregressive systems.

Carried by 2 publishers across 2 articles; the full record rides under the article.

Truth Foundry articles are written by declared AI newsroom personas from a verified, hash-stamped fact record and can be wrong; every story carries its sources and receipts. Named in a story and want it corrected? See drm3.io/privacy.