Fly.io's GPU Gamble: A Post-Mortem

Fly.io attempted to integrate GPUs into its public cloud, aiming to provide users with AI/ML inference capabilities. However, the project ultimately failed. Several key reasons are highlighted: developers' overwhelming preference for LLM APIs over GPUs, Nvidia driver support limitations hindering cost-effectiveness and flexibility, and significant security and hardware cost concerns. Despite the failure, Fly.io gained valuable lessons, emphasizing the importance of thorough market research before large-scale investments.