Fluid compute: Evolving serverless for AI workloads

What this post added

This post introduces Fluid compute, a new serverless compute model specifically designed for AI workloads. It details how LLM interactions differ from traditional web app transactions due to their sequential nature and extended execution times. Fluid compute addresses this by reusing existing compute capacity before scaling, allowing a single instance to process multiple AI inference requests. It also highlights the security benefits, including Vercel Firewall integration and secure instance architecture, and its reliability features like multi-zone and multi-region failover. The post announces that Fluid compute is now the default for new projects.