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During every startup some computations and generations take place, which can become really slow for big datasets and/or many APIs.
The goal of this issue would be to reduce the amount of times these computations are executed to a minimum by introducing caching mechanisms or similar means and only execute them when the source values have changed.
A special case of this are multi-node setups where every node executes the same computations at startup. So any solution needs to support sharing of the computed values.
The text was updated successfully, but these errors were encountered:
During every startup some computations and generations take place, which can become really slow for big datasets and/or many APIs.
The goal of this issue would be to reduce the amount of times these computations are executed to a minimum by introducing caching mechanisms or similar means and only execute them when the source values have changed.
A special case of this are multi-node setups where every node executes the same computations at startup. So any solution needs to support sharing of the computed values.
The text was updated successfully, but these errors were encountered: