is now supported in the ongoing .Pythonin-function concurrency public beta In-function concurrency optimizes functions to handle multiple invocations simultaneously, improving resource efficiency. By reusing active instances instead of creating new ones, it reduces idle compute time and associated costs. In-function concurrency is particularly beneficial for workloads with external API or database calls, such as AI models, where functions often sit idle while waiting for responses.

The in-function concurrency public beta is available to Pro and Enterprise customers using Standard or Performance Function CPU, and can be . Real-time tracking of resource savings is available in .enabled through your dashboardObservability Learn more in our and , or get started with by enabling In-function concurrency in your .blog postdocumentationour templateproject settings Read more