Soofi S: Germany's sovereign 30B-A3B MoE trained on 27T tokens, entirely on Deutsche Telekom infrastructure.

Soofi S (Sovereign Open Source Foundation Models, IPCEI-CIS/8ra-funded) hit the HN front page with a 30B mixture-of-experts activating 3B parameters per token, pretrained on ~27 trillion tokens with deliberate German weighting. The paper (arXiv:2607.09424) claims it matches dense 14–27B models on aggregate English and German benchmarks and posts the best code aggregates in both languages among 17 open base models, with near-constant inference cache as context grows. Trained entirely on Deutsche Telekom's German Industrial AI Cloud in Munich. Weights, intermediate checkpoints, training code, and full data accounting are all planned, though general availability hasn't landed. Full data accounting is the rarest promise in that list.