Decentralised AI Training At Scale
Our mission is to democratize AI by making model training accessible, enabling developers and data holders to make composable contributions of compute, training algorithms, and data.
Self-sustained data and model flywheel
Try AI Arena
Training node: Compete with other ML engineers to submit the best-performing models for a given training/ fine-tuning task
Validators: Score model submissions to ensure a fair way of distributing token rewards
Delegators: Stake to validators to amplify their influence
Try FL Alliance
FL node: Collaborate with other nodes to finetune models using proprietary data and local compute. Train models without handing over data ownership