What can I do about Vercel Functions timing out?

Learn about how you can fix Vercel Functions timing out.
Last updated on March 17, 2025
Functions

Vercel Functions can time out from long-running tasks, inefficient code, or upstream service issues.

The best way to avoid hitting these limits is by taking advantage of Fluid Compute, which blends serverless flexibility with server-like capabilities, including running functions up to 1 minute on free plans and 14 minutes on paid plans.

Fluid Compute offers a hybrid solution that removes many of the traditional limitations of serverless functions:

  • Optimized concurrency: Multiple function invocations can run on a single instance, reducing cold starts and improving resource utilization.
  • Extended durations: Enjoy longer maximum durations (up to 800 seconds on Pro and Enterprise) without additional configurations.
  • Dynamic scaling & automatic cold start optimizations: Scale seamlessly during traffic spikes and benefit from bytecode caching to reduce cold starts.
  • Background processing: Use waitUntil (or after with Next.js) to continue tasks after sending an initial response.

If you frequently encounter timeouts or want to run network-intensive tasks, enabling Fluid Compute is your most effective long-term solution.

  • Open your project in the Vercel dashboard
  • Click on Settings and select the Functions section
  • Scroll to the Fluid Compute section and enable the toggle for Fluid Compute
  • Redeploy your project to apply changes.

Fluid Compute is currently supported by the Node.js and Python runtimes.

  • By handling multiple invocations within a single function instance, you spend less time waiting for cold starts and better utilize idle compute resources.
  • This is especially helpful for I/O-bound workloads (e.g., calling external APIs or databases).
  • Fluid Compute has higher default and maximum duration limits than traditional serverless functions, making it less likely you’ll hit a timeout for long-running tasks.

If you’re still encountering timeouts even after enabling Fluid Compute, review the following common causes:

  • Check API or database call durations: If these calls exceed your default or configured duration, you’ll see timeouts.
  • Extend your function’s duration if needed: You can override Fluid Compute defaults if needed for even longer running functions. If building AI applications, we recommend streaming.
  • Always send an HTTP response (even an error). If your function never returns anything, Vercel will wait until the maximum duration has elapsed and then time out.
  • Inspect your logic for any loops or recursive calls that never terminate. This is a common cause of unintended long-running functions. Inspect your function runtime logs and observability.
  • Verify third-party integrations or database connections. If upstream services fail to respond, make sure you handle the error gracefully and return a response (e.g., an error message) rather than waiting indefinitely.

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