Railway secures $100 million to challenge AWS with AI-native cloud infrastructure
VentureBeat AI Michael Nuñez
Railway, a cloud platform company, raised $100 million in Series B funding to build infrastructure optimized for AI-generated code deployment. The company processes over 10 million deployments monthly and achieves sub-second deployment times compared to the two to three minutes required by traditional tools like Terraform. Railway plans to expand its data center footprint and establish a go-to-market operation as it competes directly with AWS, Google Cloud, and Microsoft Azure.
Why it matters
Railway, a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure.TQ Ventures led the round, with participation from FPV Ventures, Redpoint, and Unusual Ventures. The investment values Railway as one of the most significant infrastructure startups to emerge during the AI boom, capitalizing on developer frustration with the complexity and cost of traditional platforms like Amazon Web Services and Google Cloud."As AI models get better at writing code, more and more people are asking the age-old question: where, and how, do I run my applications?" said Jake Cooper, Railway's 28-year-old founder and chief executive, in an exclusive interview with VentureBeat. "The last generation of cloud primitives were slow and outdated, and now with
