How Fluid compute works on Vercel
Vercel's Fluid compute cuts serverless waste in half. Here's how it reuses resources instead of spinning up new ones.
Why it matters
Vercel is shipping infrastructure that solves a real pain point for AI workloads: serverless architectures waste compute while waiting on model inference. Fluid compute's dynamic routing and resource reuse directly addresses latency and cost for AI-heavy applications.
The key facts
11 to knowVercel Fluid compute: next-generation compute model for real-time scaling
Addresses serverless inefficiency with requests waiting on external models/APIs
Vercel Functions router dynamically routes invocations to pre-warmed instances
Minimizes cold starts and maximizes concurrency
Reuses existing resources before provisioning new capacity
Published: March 3, 2025
Fluid compute dynamically adjusts to traffic demands with real-time scaling
Vercel Functions router minimizes cold starts and maximizes concurrency
Designed to handle requests with significant wait time on external models/APIs
Resource reuse before provisioning new capacity
Low-latency execution via intelligent routing to pre-warmed instances
Go to the source
Vercel Blogvercel.com
Publisher excerpt: designed to handle modern workloads with real-time scaling, cost efficiency, and minimal overhead. Traditional serverless architectures optimize for fast execution, but struggle with requests that spend significant time waiting on external models or APIs, leading to wasted compute. Fluid compute is…