In-function concurrency is now part of Fluid compute Fluid compute combines the efficiency of servers and the fleixbility of serverless, enabling real-time, dynamic workloads like APIs, streaming, and AI. Learn about Fluid Python is now supported in the ongoing in-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 enabled through your dashboard . Real-time tracking of resource savings is available in Observability .…