WHY DECENTRALISED COMPUTE MATTERS

Summary from the TLDR Crypto newsletter

The AI infrastructure landscape has grown exponentially as the race to artificial superintelligence heats up, with major players investing billions in specialized data centers. Though centralized training is more efficient, decentralized compute networks are well-positioned to serve three key market segments: training of smaller specialized models, fine-tuning existing models, and inference workloads requiring distribution and redundancy. Going forward, permissionless alternatives may become essential infrastructure for ensuring open access to AI capabilities as the technology becomes increasingly fundamental to society.