SUMMARY: Covenant Labs shared a weekly update covering progress across Templar (Subnet 3), Grail (Subnet 81), and Basilica (Subnet 39), highlighting advances in decentralized AI training and inference on Bittensor.
Templar is nearing completion of Covenant 72B post-training, with a focus on improving GPU efficiency and expanding compute through heterogeneous clusters rather than competing directly with centralized giants.
Grail demonstrated near data center level performance in decentralized post-training, while Basilica is evolving into a flexible deployment layer for AI applications and subnet integrations.
This roundup session further restates Covenant’s mission, which is to make advanced AI accessible by turning the internet into a distributed data center, leveraging global compute to counter centralized control of models and inference.
By: Covenant AI
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