Introducing Fluid Compute
The power of servers in serverless form.
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Built for Descript The power of servers, in serverless form
Fluid compute combines the efficiency of servers and the flexibility of serverless, enabling real-time, dynamic workloads like APIs, streaming, and AI.
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Efficiency gains that pay off
Server-like concurrency, in a serverless world
In-function concurrency enables a single Vercel Function to handle multiple invocations simultaneously, optimizing resource usage and turning efficiency gains into savings.
Traditional serverless wastes idle time. It fails to efficiently utilize available resources during periods of inactivity.
Fluid maximizes available compute time. This significantly optimizes your compute footprint and resource efficiency.
“Many of our API endpoints were lightweight and involved external requests, resulting in idle compute time. By leveraging in-function concurrency, we were able to share compute resources between invocations, cutting costs by over 50% with zero code changes.”
Lead Fullstack Developer
“During peak deploy times, we saw massive idle windows between asset uploads and API calls. With Fluid Compute, we can now parallelize more work in each function, accelerating CI workflows and cutting cold-start lag to nearly zero.”
Senior Infrastructure Engineer
“Our ingestion pipeline used to spin up isolated functions for every new event. Fluid’s in-function concurrency let us batch those operations efficiently, reducing compute load and speeding up response times without touching our core logic.”
Staff Platform Engineer
AI workloads
Efficient idle time. Run tasks with reduced latency and higher concurrency, delivering faster, scalable results for all users—regardless of the workload size.
Business-critical APIs
Reliable APIs. Ensure fast, resilient API responses under heavy traffic, keeping smooth and consistent experiences.
Server-side and partial pre-rendering
Rapid-fire dynamic rendering. Generate dynamic pages with minimal latency, allowing for faster load times and seamless interactions.
Middleware
Efficient idle time. Run tasks with reduced latency and higher concurrency, delivering faster, scalable results for all users—regardless of the workload size.
AI workloads
Efficient idle time. Run tasks with reduced latency and higher concurrency, delivering faster, scalable results for all users—regardless of the workload size.
Business-critical APIs
Reliable APIs. Ensure fast, resilient API responses under heavy traffic, keeping smooth and consistent experiences.
Server-side and partial pre-rendering
Rapid-fire dynamic rendering. Generate dynamic pages with minimal latency, allowing for faster load times and seamless interactions.
Middleware
Efficient idle time. Run tasks with reduced latency and higher concurrency, delivering faster, scalable results for all users—regardless of the workload size.
Fluid compute for dynamic web applications
Efficiency gains that pay off
Run multiple invocations on a single function instance, reducing idle compute time and lowering costs.
Cold-start reduction
Functions are pre-warmed and optimized with bytecode caching, ensuring faster response times.
Streaming
Send data to users as it becomes available, improving performance for AI, media, and real-time apps.
Cross-region failover
Ensures high availability by rerouting traffic to backup regions during outages.
Dynamic scaling
Automatically adjusts concurrency and resource allocation based on real-time demand.
Post-response tasks
Keep functions running after sending a response to handle tasks like logging or database updates.
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