Railway, a San Francisco cloud platform that claims to have attracted two million developers without traditional marketing spending, announced a $100 million Series B funding round this week. The company positions itself as an alternative to Amazon Web Services (AWS) by offering what it describes as 'AI-native' infrastructure—though the company remains vague about specific technical differentiators. The funding comes amid broader industry sentiment that major cloud providers, built primarily for traditional enterprise workloads, are poorly optimized for the unique demands of machine learning: intensive GPU utilization, rapid model iteration cycles, and inference serving at scale. Railway's pitch centers on developer experience and infrastructure automation rather than feature parity with AWS.