What is Fluid Compute?
A serverless model where multiple requests can share one running function instance. It cuts cold starts and costs on workloads that spend time waiting, like AI API calls.
5 requests · 1 warm instance
Fluid Compute allows multiple requests to share...
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In real work
Route AI requests through Fluid Compute. Five concurrent calls should share one warm instance, not spin up five cold ones.
In the illustration
Five requests arrive; instead of five cold engines starting, all five belt onto the one running engine and share it while each waits on a slow AI reply. Small engraved FLUID COMPUTE plate only.
Move the webhook handler to fluid compute on your deploy platform so concurrent requests share one instance. Confirm memory and timeout settings before you deploy.
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