Chutes and Parallax Explore Decentralized AI Training and Inference

Discussions around Chutes and Parallax highlight a decentralized approach to AI training and inference, aiming for superlinear efficiency gains by leveraging distributed nodes. The conversation also explores the feasibility of decentralized training and low-cost private inference with Bittensor.

2026-07-12 ~ 2026-07-13 · 2 related posts

• Parallax Focuses on Decentralized Compute Efficiency — markjeffrey · 2026-07-12
• Visions of Decentralized Training and Cheap Private Inference — markjeffrey · 2026-07-13