Server power, without the servers.
Fluid compute blends the efficiency of servers with the agility of serverless — built for real-time APIs, streaming, and AI-driven workloads.
Server-level concurrency in a serverless environment.
In-function concurrency allows a single Vercel Function to process multiple invocations at once, maximizing resource efficiency and translating performance gains into cost savings.
Traditional serverless architectures waste, resources during idle periods, failing to make efficient use of available capacity when no functions are running.
Optimized idle time. Execute tasks with lower latency and greater concurrency, ensuring faster, scalable performance for every user—no matter the workload size.
Reliable APIs. Ensure fast, resilient API responses under heavy traffic, keeping smooth and consistent experiences.

Handle multiple invocations within a single function instance to minimize idle compute time and reduce costs.
Functions are pre-warmed and optimized with bytecode caching, ensuring faster response times.
Stream data to users as it’s ready, boosting performance for AI, media, and real-time applications.
Maintains high availability by automatically rerouting traffic to backup regions during outages.
Dynamically scales concurrency and resources in real time to match demand.
Keep functions alive after sending a response to complete tasks like logging or database operations.
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