Decentralized Compute for AI Training
Training large AI models requires significant compute resources. These resources are concentrated in a few hyperscalers, creating bottlenecks and single points of control. Today we announce the Zoo Compute Network, a decentralized alternative. The Compute Concentration Problem Current AI training is dominated by: Cloud providers: AWS, GCP, Azure control most AI-grade compute Hardware scarcity: H100s have year-long waitlists High costs: Training GPT-4 class models costs $100M+ Geographic concentration: Most clusters are in a few regions This concentration creates risks:...