Function
Scaling out
How to parallelize your functions
You can scale out workloads to many containers using the .map()
method. You might use this for parallelizing computational-heavy tasks, such as batch inference or data processing jobs.
When we run this Python module, 10 containers will be spawned to run the workload:
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