Skip to contentHome page Seeking Alpha - Power to InvestorsApr 09, 2026, 3:40 AM ETBittensor (TAO-USD) CryptoBloFin Research213 FollowersCommentsThe training of the Covenant-72B model on distributed nodes validated decentralized AI model training and triggered TAO's recent rally.However, decentralized model training is unlikely to compete with frontier closed models: the physics of pretraining require co-located infrastructure that permissionless networks cannot match, and the open-weight market it can address is structurally self-diluting through distillation.Inference is different: modular, tolerant of hardware heterogeneity, and addressable by distributed supply, Bittensor's subnet Chutes (SN64) demonstrates a cost advantage over centralized aggregators and cloud standard tiers on open-model workloads.Just_Super/E+ via Getty ImagesOn March 10, 2026, a team running on Bittensor's (TAO-USD) infrastructure completed training of Covenant-72B, a 72-billion-parameter model trained across more than 70 independent, globally distributed nodes. Ten days later, Nvidia CEO Jensen Huang referenced the achievement onThis article was written byBloFin Research213 FollowersBloFin Research focuses on crypto research and analysis, dedicated to providing institutional-grade insights into the digital asset market. Our work covers major crypto assets, market trends from a macroeconomic perspective, and industry-wide studies on key developments shaping the digital asset ecosystem.CommentsTo ensure this doesn’t happen in the future, please enable Javascript and cookies in your browser.Is this happening to you frequently? Please report it on our feedback forum.If you have an ad-blocker enabled you may be blocked from proceeding. Please disable your ad-blocker and refresh.