Skip to content

[8.9] [DOCS] Documents that models with one allocation might have downtime (backport #2567) #2575

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 18, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 5 additions & 0 deletions docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -198,6 +198,11 @@ nodes. Model allocations are independent units of work for NLP tasks. To
influence model performance, you can configure the number of allocations and the
number of threads used by each allocation of your deployment.

IMPORTANT: If your deployed trained model has only one allocation, it's likely
that you will experience downtime in the service your trained model performs.
You can reduce or eliminate downtime by adding more allocations to your trained
models.

Throughput can be scaled by adding more allocations to the deployment; it
increases the number of {infer} requests that can be performed in parallel. All
allocations assigned to a node share the same copy of the model in memory. The
Expand Down