The A.I. Daily
Low-cost ML research: Optimizing GPU costs for personal projects
An amateur ML researcher working on drug repurposing for his wife's stage 4 colon cancer faces rising GPU costs. He trains NBFNet models on Google Vertex A100s but batch size drops to 64 due to memory limits, and he seeks cost-optimization strategies.