Not sure if this can be routed to a more appropriate space but how do we change the ML instance for Elastic Cloud deployments? For my eland experiment, I am currently assigned "aws.es.ml.c5d" (costly) but I'd like to change it to "aws.es.ml.m6gd". In my search to change instance configuration, I'm led to this doc that requires me to login to a URL I can't find.
Hello @stephenb . 4gb. See below please. It's an NLP job for semantic search. The model 's required_native_memory_bytes is 739.5MB though it's only about 249MB. Would you like me to share the "Equivalent API request" (hope that's safe but it's totally a testing environment anyway)? Frankly, the cheapest aws.es.ml.xxx, e.g. aws.es.ml.m6gd, will do.
There's no way to just simply change to a different underlying hardware. This is the profile that elastic cloud uses for machine learning for thousands of customers at this time, Perhaps that will change in the future.
Also unless You are using searchable snapshots and frozen which you are probably not make sure that you are at platinum level subscription not enterprise.
There's not a direct mapping between AWS cost and elastic cloud cost... There is relationship but it's not necessarily one to one as there is value and software etc.
Hopefully you find enough value to continue to use Elastic Cloud