From 5cfef7a8d86867023bd721e305ca2ad7645a75db Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 12 Sep 2024 10:55:52 +0200 Subject: [PATCH 01/30] Removes ELSER auto-scaling limitation. --- docs/en/stack/ml/nlp/ml-nlp-limitations.asciidoc | 14 +------------- 1 file changed, 1 insertion(+), 13 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-limitations.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-limitations.asciidoc index b1fb95ec7..8673cdb19 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-limitations.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-limitations.asciidoc @@ -17,16 +17,4 @@ When you use ELSER for semantic search, only the first 512 extracted tokens from each field of the ingested documents that ELSER is applied to are taken into account for the search process. If your data set contains long documents, divide them into smaller segments before ingestion if you need the full text to be -searchable. - - -[discrete] -[[ml-nlp-elser-autoscale]] -== ELSER deployments don't autoscale - -Currently, ELSER deployments do not scale up and down automatically depending on -the resource requirements of the ELSER processes. If you want to configure -available resources for your ELSER deployments, you can manually set the number -of allocations and threads per allocation by using the Trained Models UI in -{kib} or the -{ref}/update-trained-model-deployment.html[Update trained model deployment API]. \ No newline at end of file +searchable. \ No newline at end of file From 56873a0f0be1605db4b7e8706a868a02e5c433dd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 12 Sep 2024 16:45:23 +0200 Subject: [PATCH 02/30] [DOCS] Documents ELSER auto-scale. --- docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc | 12 +++++++++++- docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc | 21 +++++++++++++++++++++ 2 files changed, 32 insertions(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc index e4faee8d7..e4cf4abb2 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc @@ -440,12 +440,22 @@ per document to ingest. To learn more about ELSER performance, refer to the <>. +[discrete] +[[elser-auto-scale]] +== ELSER autoscaling + [discrete] [[elser-adaptive-allocations]] -== Adaptive allocations +=== Enabling autoscaling through APIs - adaptive allocations include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-allocations] +[discrete] +[[elser-adaptive-resources]] +=== Enabling autoscaling in {kib} - adaptive resources + +include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-resources] + [discrete] [[further-readings]] diff --git a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc index 1e3948536..b31bbc9a9 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc @@ -17,6 +17,27 @@ And they cannot be scaled up to more than 32 allocations, unless you explicitly Adaptive allocations must be set up independently for each deployment and {infer} endpoint. end::ml-nlp-adaptive-allocations[] +tag::ml-nlp-adaptive-resources[] +You can enable adaptive resources for your models when starting or updating the model deployment. +Adaptive resources make it possible to for {es} to scale up or down the available resources based on the load on the process. +This can help you to manage performance and cost more easily. +When adaptive resources are enabled, the number of vCPUs that the model deployment uses is set automatically based on the current load. +When the load is high, the number of vCPUs that the process can use is automatically increased. +When the load is low, the number of vCPUs that the process can use is automatically decreased. + +Adaptive resources have three levels: +* Low: This level limits resources to the minimum required for ELSER to run if supported by the Cloud console selection. +If the resource limit of the Cloud console selection is more restrictive, this setting will respect the limit. +It may not be sufficient for a production application. +* Medium: The model will scale up to a maximum of 32 vCPUs. +Even if the Cloud console provides more, the model will not exceed 32, leaving additional resources for other models. +If the Cloud console provides less, the setting will respect the limit. +* High: The model may scale up to the maximum number of vCPUs available for this deployment from the Cloud console if needed. +If the maximum is 32 vCPUs or fewer, this level is equivalent to the medium level. + +[TO DO - screenshot] +end::ml-nlp-adaptive-resources[] + tag::nlp-eland-clone-docker-build[] You can use the {eland-docs}[Eland client] to install the {nlp} model. Use the prebuilt Docker image to run the Eland install model commands. Pull the latest image with: From c62ebd578b76ff89587ccdffeb251688cd54a99c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 12 Sep 2024 16:54:17 +0200 Subject: [PATCH 03/30] [DOCS] Further edits. --- docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc | 2 ++ docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc | 1 - 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc index e4cf4abb2..25cc77ebd 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc @@ -456,6 +456,8 @@ include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-allocations] include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-resources] +[TO DO - screenshot] + [discrete] [[further-readings]] diff --git a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc index b31bbc9a9..aea1ffcfd 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc @@ -35,7 +35,6 @@ If the Cloud console provides less, the setting will respect the limit. * High: The model may scale up to the maximum number of vCPUs available for this deployment from the Cloud console if needed. If the maximum is 32 vCPUs or fewer, this level is equivalent to the medium level. -[TO DO - screenshot] end::ml-nlp-adaptive-resources[] tag::nlp-eland-clone-docker-build[] From 51609ceab2108af5dad5620cffc348edac0a1fbc Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Tue, 17 Sep 2024 12:11:34 +0200 Subject: [PATCH 04/30] Adds intro text. --- docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc index 25cc77ebd..b3afd8ad6 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc @@ -444,6 +444,15 @@ To learn more about ELSER performance, refer to the <>. [[elser-auto-scale]] == ELSER autoscaling +You can enable autoscaling for each of your ELSER deployments. +Autoscaling allows {es} to automatically adjust the resources the deployment can use based on the workload demand. + +There are two ways to enable autoscaling: + +* trough APIs by enabling adaptive allocations +* in {kib} by enabling adaptive resources + + [discrete] [[elser-adaptive-allocations]] === Enabling autoscaling through APIs - adaptive allocations From 9d408dbc63b0a9b510a4186a2163caa8ebaaa12b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Tue, 17 Sep 2024 13:43:49 +0200 Subject: [PATCH 05/30] Fixes bullet list. --- docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc index aea1ffcfd..fc1467234 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc @@ -26,6 +26,7 @@ When the load is high, the number of vCPUs that the process can use is automatic When the load is low, the number of vCPUs that the process can use is automatically decreased. Adaptive resources have three levels: + * Low: This level limits resources to the minimum required for ELSER to run if supported by the Cloud console selection. If the resource limit of the Cloud console selection is more restrictive, this setting will respect the limit. It may not be sufficient for a production application. From e9b26e84a5f9a4cb86ddf321473a7c72e84e5efe Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Wed, 25 Sep 2024 14:39:29 +0200 Subject: [PATCH 06/30] [DOCS] Fine-tunes adaptive resources docs. --- .../ml/nlp/ml-nlp-deploy-models.asciidoc | 94 +++++++++---------- docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc | 11 +++ docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc | 5 +- 3 files changed, 58 insertions(+), 52 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc index 5e10e7004..9f66ea405 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc @@ -164,68 +164,62 @@ their deployment across your cluster under **{ml-app}** > *Model Management*. Alternatively, you can use the {ref}/start-trained-model-deployment.html[start trained model deployment API]. -You can deploy a model multiple times by assigning a unique deployment ID when -starting the deployment. It enables you to have dedicated deployments for -different purposes, such as search and ingest. By doing so, you ensure that the -search speed remains unaffected by ingest workloads, and vice versa. Having -separate deployments for search and ingest mitigates performance issues -resulting from interactions between the two, which can be hard to diagnose. +You can deploy a model multiple times by assigning a unique deployment ID when starting the deployment. + +You can optimize your deplyoment for typical use cases, such as search and ingest. +When you optimize for ingest, the throughput will be higher, which increases the number of {infer} requests that can be performed in parallel. +When you optimize for search, the latency will be lower during search processes. +When you have dedicated deployments for different purposes, you ensure that the search speed remains unaffected by ingest workloads, and vice versa. +Having separate deployments for search and ingest mitigates performance issues resulting from interactions between the two, which can be hard to diagnose. [role="screenshot"] image::images/ml-nlp-deployment-id-elser-v2.png["Model deployment on the Trained Models UI."] -It is recommended to fine-tune each deployment based on its specific purpose. To -improve ingest performance, increase throughput by adding more allocations to -the deployment. For improved search speed, increase the number of threads per -allocation. - -NOTE: Since eland uses APIs to deploy the models, you cannot see the models in -{kib} until the saved objects are synchronized. You can follow the prompts in -{kib}, wait for automatic synchronization, or use the -{kibana-ref}/machine-learning-api-sync.html[sync {ml} saved objects API]. - -When you deploy the model, its allocations are distributed across available {ml} -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. Alternatively, you -can enable <> to automatically create and remove -model allocations based on the current workload of the model (you still need to -manually set the number of threads). - -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. +Each deployment will be fine-tuned automatically based on its specific purpose you choose. + +NOTE: Since eland uses APIs to deploy the models, you cannot see the models in {kib} until the saved objects are synchronized. +You can follow the prompts in {kib}, wait for automatic synchronization, or use the {kibana-ref}/machine-learning-api-sync.html[sync {ml} saved objects API]. + +You can define the resource usage level of the NLP model during model deployment. +The resource usage levels behave differently depending on <> being enabled or disabled. +When adaptive resources are disabled but {ml} autoscaling is enabled, vCPU usage of Cloud deployments derived from the Cloud console and functions as follows: + +* Low: This level limits resources to one vCPU, which may be suitable for development, testing, and demos depending on your parameters. +It is not recommended for production use +* Medium: This level limits resources to two vCPUs, which may be suitable for development, testing, and demos depending on your parameters. +It is not recommended for production use. +* High: This level may use the maximum number of vCPUs available for this deployment from the Cloud console. +If the maximum is 2 vCPUs or fewer, this level is equivalent to the medium or low level. + +For the resource levels when adaptive resources are enabled, refer to <>. -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 -model is loaded into memory in a native process that encapsulates `libtorch`, -which is the underlying {ml} library of PyTorch. The number of allocations -setting affects the amount of model allocations across all the {ml} nodes. Model -allocations are distributed in such a way that the total number of used threads -does not exceed the allocated processors of a node. - -The threads per allocation setting affects the number of threads used by each -model allocation during {infer}. Increasing the number of threads generally -increases the speed of {infer} requests. The value of this setting must not -exceed the number of available allocated processors per node. - -You can view the allocation status in {kib} or by using the -{ref}/get-trained-models-stats.html[get trained model stats API]. If you want to -change the number of allocations, you can use the -{ref}/update-trained-model-deployment.html[update trained model stats API] after -the allocation status is `started`. You can also enable -<> to automatically create and remove model -allocations based on the current workload of the model. + +[discrete] +[[nlp-model-auto-scale]] +=== NLP model autoscaling + +You can enable autoscaling for each of your NLP model deployments. +Autoscaling allows {es} to automatically adjust the resources the deployment can use based on the workload demand. + +There are two ways to enable autoscaling: + +* trough APIs by enabling adaptive allocations +* in {kib} by enabling adaptive resources [discrete] [[nlp-model-adaptive-allocations]] -=== Adaptive allocations +==== Enabling autoscaling through APIs - adaptive allocations include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-allocations] +[discrete] +[[nlp-model-adaptive-resources]] +==== Enabling autoscaling in {kib} - adaptive resources + +include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-resources] + + [discrete] [[infer-request-queues]] === Request queues and search priority diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc index b3afd8ad6..e32c75b5e 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc @@ -468,6 +468,17 @@ include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-resources] [TO DO - screenshot] +[discrete] +[[elser-recommendations]] +== Recommendations for using ELSER + +To gain the biggest value out of ELSER trained models, consider to follow this list of recommendations. + +* Use two ELSER {infer} endpoints: one optimized for ingest and one optimized for search. +* If quick response time is important for your use case, keep {ml} resources available at all times by setting `min_allocations` to `1`. +* Setting `min_allocations` to `0` can save on costs for non critical use cases or testing environments. + + [discrete] [[further-readings]] == Further reading diff --git a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc index fc1467234..a36307c82 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc @@ -1,4 +1,5 @@ tag::ml-nlp-adaptive-allocations[] +Model allocations are independent units of work for NLP tasks. The numbers of threads and allocations you can set manually for a model remain constant even when not all the available resources are fully used or when the load on the model requires more resources. Instead of setting the number of allocations manually, you can enable adaptive allocations to set the number of allocations based on the load on the process. This can help you to manage performance and cost more easily. When adaptive allocations are enabled, the number of allocations of the model is set automatically based on the current load. @@ -19,13 +20,13 @@ end::ml-nlp-adaptive-allocations[] tag::ml-nlp-adaptive-resources[] You can enable adaptive resources for your models when starting or updating the model deployment. -Adaptive resources make it possible to for {es} to scale up or down the available resources based on the load on the process. +Adaptive resources make it possible for {es} to scale up or down the available resources based on the load on the process. This can help you to manage performance and cost more easily. When adaptive resources are enabled, the number of vCPUs that the model deployment uses is set automatically based on the current load. When the load is high, the number of vCPUs that the process can use is automatically increased. When the load is low, the number of vCPUs that the process can use is automatically decreased. -Adaptive resources have three levels: +The three levels of resource usage in Cloud deployments function as follows when adaptive resources are enabled: * Low: This level limits resources to the minimum required for ELSER to run if supported by the Cloud console selection. If the resource limit of the Cloud console selection is more restrictive, this setting will respect the limit. 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z3){9bry;viKoJISyXS$Ur$e|(j_&f-1(Jxu7OEZ`4Wdsr}O`1l)?$_(a%+(%*k|15=i09q^m<=K9Z z&M07EY)lXG{sqhV_s*J6fG2!ach~vk2Oy6MjBLC2wPODsqH|s!h!?s4^yRrjMmGUO z-kHBwK>m*#E5ZT@80oaiUA>U>4N3aARd64H{f~3!17N3r3!xH^0OoMoRIc&ozu7_m zJdvc0Z@?l@%;e2!U5^0K{bet@Pfijy&K2lMj#b{+2fR?+yRx zqFD&ED?AE0^>aG#qVlEEHyG&t&A(%F1#peA^h7QBcgkkLVWw#GRkH-tn-E>)V#PpE&s!^y=S+ zq^S&eWR1yZd#LS5V9qw?T)cm+;`_HAKLI$bJc$Dl@<8NL*!+^xw<37|Mx%V-(pEEh zBgS?gcv7PBW%mCzWf(Bx9SnOuDTR6LRcapD5P>k|3cuc9u$JpbW{-XXD5$LeX`JWBT5L_iEB`+ikj z&t z<1?!v40bI*CHCLCzq(&|4SCND7gp`_;{G8HQ?^J}0Gu(K)d5s45C~D=5!?UCudF|f zuT88>6N8Bkyt4sOb;c>5e3Tq0kE2;5_$&QpE0V%gXFlmoCYy z`lL?H6m&0JICH;MI>OEd7$o6LIR5XDOY8 zsSp$xH|Y};xWsF;L`Q3?zc; Date: Thu, 3 Oct 2024 14:30:54 +0200 Subject: [PATCH 08/30] [DOCS] Splits autoscaling content to new page. --- docs/en/stack/ml/nlp/index.asciidoc | 1 + .../stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 60 +++++++++++++++++++ .../ml/nlp/ml-nlp-deploy-models.asciidoc | 28 +-------- docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc | 31 +--------- docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc | 41 ------------- docs/en/stack/ml/nlp/ml-nlp.asciidoc | 1 + 6 files changed, 66 insertions(+), 96 deletions(-) create mode 100644 docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc diff --git a/docs/en/stack/ml/nlp/index.asciidoc b/docs/en/stack/ml/nlp/index.asciidoc index 1dd021414..ef78ae52e 100644 --- a/docs/en/stack/ml/nlp/index.asciidoc +++ b/docs/en/stack/ml/nlp/index.asciidoc @@ -4,6 +4,7 @@ include::ml-nlp-extract-info.asciidoc[leveloffset=+2] include::ml-nlp-classify-text.asciidoc[leveloffset=+2] include::ml-nlp-search-compare.asciidoc[leveloffset=+2] include::ml-nlp-deploy-models.asciidoc[leveloffset=+1] +include::ml-nlp-autoscaling.asciidoc[leveloffset=+1] include::ml-nlp-inference.asciidoc[leveloffset=+1] include::ml-nlp-apis.asciidoc[leveloffset=+1] include::ml-nlp-built-in-models.asciidoc[leveloffset=+1] diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc new file mode 100644 index 000000000..5a6cf228a --- /dev/null +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -0,0 +1,60 @@ +[discrete] +[[ml-nlp-auto-scale]] += Trained model autoscaling + +You can enable autoscaling for each of your trained model deployments. +Autoscaling allows {es} to automatically adjust the resources the deployment can use based on the workload demand. + +There are two ways to enable autoscaling: + +* trough APIs by enabling adaptive allocations +* in {kib} by enabling adaptive resources + +IMPORTANT: You must enable {cloud}/ec-autoscaling.html[deployment autoscaling] to use model autoscaling. + +[discrete] +[[elser-adaptive-allocations]] +== Enabling autoscaling through APIs - adaptive allocations + +Model allocations are independent units of work for NLP tasks. +The numbers of threads and allocations you can set manually for a model remain constant even when not all the available resources are fully used or when the load on the model requires more resources. +Instead of setting the number of allocations manually, you can enable adaptive allocations to set the number of allocations based on the load on the process. This can help you to manage performance and cost more easily. +When adaptive allocations are enabled, the number of allocations of the model is set automatically based on the current load. +When the load is high, a new model allocation is automatically created. +When the load is low, a model allocation is automatically removed. + +You can enable adaptive allocations by using: + +* the Create inference endpoint API for {ref}/infer-service-elser.html[ELSER], {ref}/infer-service-elasticsearch.html[E5 and models uploaded through Eland] that are used as {infer} services. +* the {ref}/start-trained-model-deployment.html[start trained model deployment] or {ref}/update-trained-model-deployment.html[update trained model deployment] APIs for trained models that are deployed on {ml} nodes. + +If the new allocations fit on the current {ml} nodes, they are immediately started. +If more resource capacity is needed for creating new model allocations, then your {ml} node will be scaled up if {ml} autoscaling is enabled to provide enough resources for the new allocation. +The number of model allocations cannot be scaled down to less than 1. +And they cannot be scaled up to more than 32 allocations, unless you explicitly set the maximum number of allocations to more. +Adaptive allocations must be set up independently for each deployment and {infer} endpoint. + +[discrete] +[[elser-adaptive-resources]] +== Enabling autoscaling in {kib} - adaptive resources + +You can enable adaptive resources for your models when starting or updating the model deployment. +Adaptive resources make it possible for {es} to scale up or down the available resources based on the load on the process. +This can help you to manage performance and cost more easily. +When adaptive resources are enabled, the number of vCPUs that the model deployment uses is set automatically based on the current load. +When the load is high, the number of vCPUs that the process can use is automatically increased. +When the load is low, the number of vCPUs that the process can use is automatically decreased. + +The three levels of resource usage in Cloud deployments function as follows when adaptive resources are enabled: + +* Low: This level limits resources to the minimum required for ELSER to run if supported by the Cloud console selection. +If the resource limit of the Cloud console selection is more restrictive, this setting will respect the limit. +It may not be sufficient for a production application. +* Medium: The model will scale up to a maximum of 32 vCPUs. +Even if the Cloud console provides more, the model will not exceed 32, leaving additional resources for other models. +If the Cloud console provides less, the setting will respect the limit. +* High: The model may scale up to the maximum number of vCPUs available for this deployment from the Cloud console if needed. +If the maximum is 32 vCPUs or fewer, this level is equivalent to the medium level. + +[role="screenshot"] +image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled."] \ No newline at end of file diff --git a/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc index 9f66ea405..b7dc94efa 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc @@ -191,33 +191,7 @@ It is not recommended for production use. * High: This level may use the maximum number of vCPUs available for this deployment from the Cloud console. If the maximum is 2 vCPUs or fewer, this level is equivalent to the medium or low level. -For the resource levels when adaptive resources are enabled, refer to <>. - - -[discrete] -[[nlp-model-auto-scale]] -=== NLP model autoscaling - -You can enable autoscaling for each of your NLP model deployments. -Autoscaling allows {es} to automatically adjust the resources the deployment can use based on the workload demand. - -There are two ways to enable autoscaling: - -* trough APIs by enabling adaptive allocations -* in {kib} by enabling adaptive resources - -[discrete] -[[nlp-model-adaptive-allocations]] -==== Enabling autoscaling through APIs - adaptive allocations - -include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-allocations] - - -[discrete] -[[nlp-model-adaptive-resources]] -==== Enabling autoscaling in {kib} - adaptive resources - -include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-resources] +For the resource levels when adaptive resources are enabled, refer to <<>. [discrete] diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc index 03197e7f5..2cff6576c 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc @@ -66,6 +66,9 @@ more allocations or more threads per allocation, which requires bigger ML nodes. Autoscaling provides bigger nodes when required. If autoscaling is turned off, you must provide suitably sized nodes yourself. +Enabling trained model autoscaling for your ELSER deployment is recommended. +Refer to <> to learn more. + [discrete] [[elser-v2]] @@ -451,34 +454,6 @@ For example, if your text contains HTML tags, use the {ref}/htmlstrip-processor. Always review and clean your input text before ingestion to eliminate any irrelevant entities that might affect the results. -[discrete] -[[elser-auto-scale]] -== ELSER autoscaling - -You can enable autoscaling for each of your ELSER deployments. -Autoscaling allows {es} to automatically adjust the resources the deployment can use based on the workload demand. - -There are two ways to enable autoscaling: - -* trough APIs by enabling adaptive allocations -* in {kib} by enabling adaptive resources - -[discrete] -[[elser-adaptive-allocations]] -=== Enabling autoscaling through APIs - adaptive allocations - -include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-allocations] - -[discrete] -[[elser-adaptive-resources]] -=== Enabling autoscaling in {kib} - adaptive resources - -include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-resources] - -[role="screenshot"] -image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled."] - - [discrete] [[elser-recommendations]] == Recommendations for using ELSER diff --git a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc index a36307c82..0568cda26 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-shared.asciidoc @@ -1,44 +1,3 @@ -tag::ml-nlp-adaptive-allocations[] -Model allocations are independent units of work for NLP tasks. -The numbers of threads and allocations you can set manually for a model remain constant even when not all the available resources are fully used or when the load on the model requires more resources. -Instead of setting the number of allocations manually, you can enable adaptive allocations to set the number of allocations based on the load on the process. This can help you to manage performance and cost more easily. -When adaptive allocations are enabled, the number of allocations of the model is set automatically based on the current load. -When the load is high, a new model allocation is automatically created. -When the load is low, a model allocation is automatically removed. - -You can enable adaptive allocations by using: - -* the Create inference endpoint API for {ref}/infer-service-elser.html[ELSER], {ref}/infer-service-elasticsearch.html[E5 and models uploaded through Eland] that are used as {infer} services. -* the {ref}/start-trained-model-deployment.html[start trained model deployment] or {ref}/update-trained-model-deployment.html[update trained model deployment] APIs for trained models that are deployed on {ml} nodes. - -If the new allocations fit on the current {ml} nodes, they are immediately started. -If more resource capacity is needed for creating new model allocations, then your {ml} node will be scaled up if {ml} autoscaling is enabled to provide enough resources for the new allocation. -The number of model allocations cannot be scaled down to less than 1. -And they cannot be scaled up to more than 32 allocations, unless you explicitly set the maximum number of allocations to more. -Adaptive allocations must be set up independently for each deployment and {infer} endpoint. -end::ml-nlp-adaptive-allocations[] - -tag::ml-nlp-adaptive-resources[] -You can enable adaptive resources for your models when starting or updating the model deployment. -Adaptive resources make it possible for {es} to scale up or down the available resources based on the load on the process. -This can help you to manage performance and cost more easily. -When adaptive resources are enabled, the number of vCPUs that the model deployment uses is set automatically based on the current load. -When the load is high, the number of vCPUs that the process can use is automatically increased. -When the load is low, the number of vCPUs that the process can use is automatically decreased. - -The three levels of resource usage in Cloud deployments function as follows when adaptive resources are enabled: - -* Low: This level limits resources to the minimum required for ELSER to run if supported by the Cloud console selection. -If the resource limit of the Cloud console selection is more restrictive, this setting will respect the limit. -It may not be sufficient for a production application. -* Medium: The model will scale up to a maximum of 32 vCPUs. -Even if the Cloud console provides more, the model will not exceed 32, leaving additional resources for other models. -If the Cloud console provides less, the setting will respect the limit. -* High: The model may scale up to the maximum number of vCPUs available for this deployment from the Cloud console if needed. -If the maximum is 32 vCPUs or fewer, this level is equivalent to the medium level. - -end::ml-nlp-adaptive-resources[] - tag::nlp-eland-clone-docker-build[] You can use the {eland-docs}[Eland client] to install the {nlp} model. Use the prebuilt Docker image to run the Eland install model commands. Pull the latest image with: diff --git a/docs/en/stack/ml/nlp/ml-nlp.asciidoc b/docs/en/stack/ml/nlp/ml-nlp.asciidoc index 18fe43747..9bdf7301b 100644 --- a/docs/en/stack/ml/nlp/ml-nlp.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp.asciidoc @@ -14,6 +14,7 @@ predictions. * <> * <> +* <<> * <> * <> * <> From 59b924c577f1bc85aa28a5920e609e75c5a6c8da Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 3 Oct 2024 14:50:04 +0200 Subject: [PATCH 09/30] Adds reference to E5 page. --- docs/en/stack/ml/nlp/ml-nlp-e5.asciidoc | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-e5.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-e5.asciidoc index 8d3a4b256..e14a925c9 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-e5.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-e5.asciidoc @@ -41,6 +41,9 @@ models on HuggingFace for further information including licensing. To use E5, you must have the {subscriptions}[appropriate subscription] level for semantic search or the trial period activated. +Enabling trained model autoscaling for your E5 deployment is recommended. +Refer to <> to learn more. + [discrete] [[download-deploy-e5]] @@ -313,12 +316,6 @@ Once it's uploaded to {es}, the model will have the ID specified by underscores `__`. -- -[discrete] -[[e5-adaptive-allocations]] -== Adaptive allocations - -include::ml-nlp-shared.asciidoc[tag=ml-nlp-adaptive-allocations] - [discrete] [[terms-of-use-e5]] From 78116b1e6ebf9e19c9a00f259365c71a468b7616 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 3 Oct 2024 16:10:40 +0200 Subject: [PATCH 10/30] [DOCS] Adds IDs. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 5a6cf228a..e1933bc12 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -12,8 +12,9 @@ There are two ways to enable autoscaling: IMPORTANT: You must enable {cloud}/ec-autoscaling.html[deployment autoscaling] to use model autoscaling. + [discrete] -[[elser-adaptive-allocations]] +[[nlp-model-adaptive-allocations]] == Enabling autoscaling through APIs - adaptive allocations Model allocations are independent units of work for NLP tasks. @@ -35,7 +36,7 @@ And they cannot be scaled up to more than 32 allocations, unless you explicitly Adaptive allocations must be set up independently for each deployment and {infer} endpoint. [discrete] -[[elser-adaptive-resources]] +[[nlp-model-adaptive-resources]] == Enabling autoscaling in {kib} - adaptive resources You can enable adaptive resources for your models when starting or updating the model deployment. From 83ae90abd986cdcd115f5cef5f5cd28ff4dd29d1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 13:58:55 +0200 Subject: [PATCH 11/30] [DOCS] Adds link to pricing calculator. --- .../stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 23 ++++++++++++++++--- 1 file changed, 20 insertions(+), 3 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index e1933bc12..6f84be0c9 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -19,7 +19,10 @@ IMPORTANT: You must enable {cloud}/ec-autoscaling.html[deployment autoscaling] t Model allocations are independent units of work for NLP tasks. The numbers of threads and allocations you can set manually for a model remain constant even when not all the available resources are fully used or when the load on the model requires more resources. -Instead of setting the number of allocations manually, you can enable adaptive allocations to set the number of allocations based on the load on the process. This can help you to manage performance and cost more easily. +Instead of setting the number of allocations manually, you can enable adaptive allocations to set the number of allocations based on the load on the process. +This can help you to manage performance and cost more easily. +(Refer to the https://cloud.elastic.co/pricing[pricing calculator] to learn more about the possible costs.) + When adaptive allocations are enabled, the number of allocations of the model is set automatically based on the current load. When the load is high, a new model allocation is automatically created. When the load is low, a model allocation is automatically removed. @@ -31,10 +34,24 @@ You can enable adaptive allocations by using: If the new allocations fit on the current {ml} nodes, they are immediately started. If more resource capacity is needed for creating new model allocations, then your {ml} node will be scaled up if {ml} autoscaling is enabled to provide enough resources for the new allocation. -The number of model allocations cannot be scaled down to less than 1. -And they cannot be scaled up to more than 32 allocations, unless you explicitly set the maximum number of allocations to more. +The number of model allocations can be scaled down to 0. +They cannot be scaled up to more than 32 allocations, unless you explicitly set the maximum number of allocations to more. Adaptive allocations must be set up independently for each deployment and {infer} endpoint. + +[discrete] +[[optimize-use-case]] +=== Optimize for typical use cases by using adaptive allocations + +You can optimize your model deplyoment for typical use cases, such as search and ingest. +When you optimize for ingest, the throughput will be higher, which increases the number of {infer} requests that can be performed in parallel. +When you optimize for search, the latency will be lower during search processes. + +* If you want to optimize for ingest, set the number of threads to `1` (`"num_threads": 1`). +* If you want to optimize for search, set the number of threads to greater than `1`. +Increasing the numnber of threads will make the search processes more performant. + + [discrete] [[nlp-model-adaptive-resources]] == Enabling autoscaling in {kib} - adaptive resources From 8b411c3aabd0f6b7f5ff05a14d11757edcae79a4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 14:46:56 +0200 Subject: [PATCH 12/30] [DOCS] Adds available resources matrix. --- .../stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 71 ++++++++++++++++++- 1 file changed, 70 insertions(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 6f84be0c9..7f881edd3 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -75,4 +75,73 @@ If the Cloud console provides less, the setting will respect the limit. If the maximum is 32 vCPUs or fewer, this level is equivalent to the medium level. [role="screenshot"] -image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled."] \ No newline at end of file +image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled."] + + +[discrete] +[[auto-scaling-matrix]] +== Model deployment resource matrix + +The used resources for trained model deployments depends on three factors: + +* your cluster environment (Serverless, Cloud, or on-prem) +* the use case you optimize the model deployment (ingest or search) +* whether adaptive resources are enabled or disabled (dynamic or static resources) + +The following tables show you the exact number of allocations, threads, and vCPUs available in the different scenarios. + + +[discrete] +=== Deployments in Cloud optimized for ingest + + +[discrete] +==== Adaptive resources enabled + +[cols="4*", options="header"] +|========== +| Level | Allocations | Threads | vCPUs +| Low | 0 to 2 dynamically | 1 | 0 to 2 dynamically +| Medium | 1 to 32 dynamically | 1 | 1 to the smallest between 32 or the limit set on the Cloud console, dynamically +| High | 1 to limit set by Cloud console, dynamically | 1 | 1 to limit set by Cloud console, dynamically +|========== + + +[discrete] +==== Adaptive resources disabled + +[cols="4*", options="header"] +|========== +| Level | Allocations | Threads | vCPUs +| Low | 2 if available, otherwise 1, statically | 1 | 2 if available +| Medium | 32 if available, otherwise maximum available, statically | 1 | 32 if available +| High | Maximum available set by Cloud console, statically | 1 | Maximum available set by Cloud console, statically +|========== + + +[discrete] +=== Deployments in Cloud optimized for search + + +[discrete] +==== Adaptive resources enabled + +[cols="4*", options="header"] +|========== +| Level | Allocations | Threads | vCPUs +| Low | 1 | 2 | 2 +| Medium | 1 to 2 (if threads=16) dynamically | maximum that the hardware allows (for example, 16) | 1 to 32 dynamically +| High | 1 to limit set by Cloud console, dynamically| maximum that the hardware allows (for example, 16) | 1 to limit set by Cloud console, dynamically +|========== + + +[discrete] +==== Adaptive resources disabled + +[cols="4*", options="header"] +|========== +| Level | Allocations | Threads | vCPUs +| Low | 1 if available, statically | 2 | 2 if available +| Medium | 2 (if threads=16) statically | maximum that the hardware allows (for example, 16) | 32 if available +| High | Maximum available set by Cloud console, statically | maximum that the hardware allows (for example, 16) | Maximum available set by Cloud console, statically +|========== \ No newline at end of file From 7305bc9ec3eed2bae2d3162400ba7fc20d0b9aaf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 14:54:54 +0200 Subject: [PATCH 13/30] [DOCS] Removes strings. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 13 +++---------- 1 file changed, 3 insertions(+), 10 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 7f881edd3..b5d008f7e 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -63,16 +63,9 @@ When adaptive resources are enabled, the number of vCPUs that the model deployme When the load is high, the number of vCPUs that the process can use is automatically increased. When the load is low, the number of vCPUs that the process can use is automatically decreased. -The three levels of resource usage in Cloud deployments function as follows when adaptive resources are enabled: - -* Low: This level limits resources to the minimum required for ELSER to run if supported by the Cloud console selection. -If the resource limit of the Cloud console selection is more restrictive, this setting will respect the limit. -It may not be sufficient for a production application. -* Medium: The model will scale up to a maximum of 32 vCPUs. -Even if the Cloud console provides more, the model will not exceed 32, leaving additional resources for other models. -If the Cloud console provides less, the setting will respect the limit. -* High: The model may scale up to the maximum number of vCPUs available for this deployment from the Cloud console if needed. -If the maximum is 32 vCPUs or fewer, this level is equivalent to the medium level. +You can choose from three levels of resource usage for your trained model deployment. +Refer to the tables in the <> section to find out the setings for the level you selected. + [role="screenshot"] image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled."] From d40bd9298ba43aa602f2fa69b75213589b425d98 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 14:56:17 +0200 Subject: [PATCH 14/30] [DOCS] Fixes typo. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index b5d008f7e..65cb9d98a 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -49,7 +49,7 @@ When you optimize for search, the latency will be lower during search processes. * If you want to optimize for ingest, set the number of threads to `1` (`"num_threads": 1`). * If you want to optimize for search, set the number of threads to greater than `1`. -Increasing the numnber of threads will make the search processes more performant. +Increasing the number of threads will make the search processes more performant. [discrete] From 81efc0f0284aca870be34c02e50809d9b593df48 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 14:58:22 +0200 Subject: [PATCH 15/30] [DOCS] Rephrases sentence. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 65cb9d98a..06b4e1054 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -95,7 +95,7 @@ The following tables show you the exact number of allocations, threads, and vCPU |========== | Level | Allocations | Threads | vCPUs | Low | 0 to 2 dynamically | 1 | 0 to 2 dynamically -| Medium | 1 to 32 dynamically | 1 | 1 to the smallest between 32 or the limit set on the Cloud console, dynamically +| Medium | 1 to 32 dynamically | 1 | 1 to the smaller of 32 or the limit set in the Cloud console, dynamically | High | 1 to limit set by Cloud console, dynamically | 1 | 1 to limit set by Cloud console, dynamically |========== From 5b3c377b018f41c92ac1ad8d0efac280ce343c90 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 15:45:50 +0200 Subject: [PATCH 16/30] [DOCS] Removes discrete flag. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 06b4e1054..25d1a3de8 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -1,4 +1,3 @@ -[discrete] [[ml-nlp-auto-scale]] = Trained model autoscaling From 64d0d4f67b491a544b755c8f259317215374f515 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 7 Oct 2024 16:22:39 +0200 Subject: [PATCH 17/30] [DOCS] Rescales image. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 25d1a3de8..ae1dc4cfc 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -67,7 +67,7 @@ Refer to the tables in the <> section to find out the setin [role="screenshot"] -image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled."] +image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive resources enabled.",width=640] [discrete] From ebd90831627eb6a1da9f536e873b3f880cf2eed2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 10:26:26 +0200 Subject: [PATCH 18/30] [DOCS] Fine-tunes phrasing. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index ae1dc4cfc..705045755 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -76,16 +76,20 @@ image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive The used resources for trained model deployments depends on three factors: -* your cluster environment (Serverless, Cloud, or on-prem) +* your cluster environment (Serverless, Cloud, or on-premises) * the use case you optimize the model deployment (ingest or search) * whether adaptive resources are enabled or disabled (dynamic or static resources) -The following tables show you the exact number of allocations, threads, and vCPUs available in the different scenarios. +If you use {es} on-premises, adaptive resources behavior is fully dynamic and highly dependent on the hardware configuration. +The following tables show you the number of allocations, threads, and vCPUs available in Cloud when adaptive resources are enabled or disabled. [discrete] === Deployments in Cloud optimized for ingest +In case of ingest-optimized deployments, we maximize the number of model allocations. + + [discrete] ==== Adaptive resources enabled @@ -114,6 +118,8 @@ The following tables show you the exact number of allocations, threads, and vCPU [discrete] === Deployments in Cloud optimized for search +In case of search-optimized deployments, we maximize the number of threads. +The maximum number of threads that can be claimed depends on the hardware your architecture has. [discrete] ==== Adaptive resources enabled @@ -132,7 +138,7 @@ The following tables show you the exact number of allocations, threads, and vCPU [cols="4*", options="header"] |========== -| Level | Allocations | Threads | vCPUs +| Level | Allocations | Threads | vCPUs | Low | 1 if available, statically | 2 | 2 if available | Medium | 2 (if threads=16) statically | maximum that the hardware allows (for example, 16) | 32 if available | High | Maximum available set by Cloud console, statically | maximum that the hardware allows (for example, 16) | Maximum available set by Cloud console, statically From fd7293c7d607ba0cfe8592ac00e4f12a23806766 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 10:27:15 +0200 Subject: [PATCH 19/30] Update docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 705045755..4896dba76 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -90,7 +90,6 @@ The following tables show you the number of allocations, threads, and vCPUs avai In case of ingest-optimized deployments, we maximize the number of model allocations. - [discrete] ==== Adaptive resources enabled From e306f6662b4817d96c63b8f709f5bb29544f4ce2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 10:48:33 +0200 Subject: [PATCH 20/30] [DOCS] Fixes typo. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 4896dba76..04bbdc6a9 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -6,7 +6,7 @@ Autoscaling allows {es} to automatically adjust the resources the deployment can There are two ways to enable autoscaling: -* trough APIs by enabling adaptive allocations +* through APIs by enabling adaptive allocations * in {kib} by enabling adaptive resources IMPORTANT: You must enable {cloud}/ec-autoscaling.html[deployment autoscaling] to use model autoscaling. From 55f97df95952d6b4fa0bd95c8252d3d75aa2cd07 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 11:39:37 +0200 Subject: [PATCH 21/30] [DOCS] Addresses feedback. --- .../stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 51 +++++++++++-------- 1 file changed, 30 insertions(+), 21 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 04bbdc6a9..f033207ab 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -9,7 +9,7 @@ There are two ways to enable autoscaling: * through APIs by enabling adaptive allocations * in {kib} by enabling adaptive resources -IMPORTANT: You must enable {cloud}/ec-autoscaling.html[deployment autoscaling] to use model autoscaling. +IMPORTANT: To fully leverage model autoscaling, it is highly recommended to enable {cloud}/ec-autoscaling.html[deployment autoscaling]. [discrete] @@ -17,7 +17,7 @@ IMPORTANT: You must enable {cloud}/ec-autoscaling.html[deployment autoscaling] t == Enabling autoscaling through APIs - adaptive allocations Model allocations are independent units of work for NLP tasks. -The numbers of threads and allocations you can set manually for a model remain constant even when not all the available resources are fully used or when the load on the model requires more resources. +If you set the numbers of threads and allocations for a model manually, they remain constant even when not all the available resources are fully used or when the load on the model requires more resources. Instead of setting the number of allocations manually, you can enable adaptive allocations to set the number of allocations based on the load on the process. This can help you to manage performance and cost more easily. (Refer to the https://cloud.elastic.co/pricing[pricing calculator] to learn more about the possible costs.) @@ -28,7 +28,7 @@ When the load is low, a model allocation is automatically removed. You can enable adaptive allocations by using: -* the Create inference endpoint API for {ref}/infer-service-elser.html[ELSER], {ref}/infer-service-elasticsearch.html[E5 and models uploaded through Eland] that are used as {infer} services. +* the create inference endpoint API for {ref}/infer-service-elser.html[ELSER], {ref}/infer-service-elasticsearch.html[E5 and models uploaded through Eland] that are used as {infer} services. * the {ref}/start-trained-model-deployment.html[start trained model deployment] or {ref}/update-trained-model-deployment.html[update trained model deployment] APIs for trained models that are deployed on {ml} nodes. If the new allocations fit on the current {ml} nodes, they are immediately started. @@ -77,7 +77,7 @@ image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive The used resources for trained model deployments depends on three factors: * your cluster environment (Serverless, Cloud, or on-premises) -* the use case you optimize the model deployment (ingest or search) +* the use case you optimize the model deployment for (ingest or search) * whether adaptive resources are enabled or disabled (dynamic or static resources) If you use {es} on-premises, adaptive resources behavior is fully dynamic and highly dependent on the hardware configuration. @@ -95,24 +95,28 @@ In case of ingest-optimized deployments, we maximize the number of model allocat [cols="4*", options="header"] |========== -| Level | Allocations | Threads | vCPUs -| Low | 0 to 2 dynamically | 1 | 0 to 2 dynamically -| Medium | 1 to 32 dynamically | 1 | 1 to the smaller of 32 or the limit set in the Cloud console, dynamically -| High | 1 to limit set by Cloud console, dynamically | 1 | 1 to limit set by Cloud console, dynamically +| Level | Allocations | Threads | vCPUs +| Low | 0 to 2 if available, dynamically | 1 | 0 to 2 if available, dynamically +| Medium | 1 to 32 dynamically | 1 | 1 to the smaller of 32 or the limit set in the Cloud console, dynamically +| High | 1 to limit set in the Cloud console ^*^, dynamically | 1 | 1 to limit set in the Cloud console, dynamically |========== +^*^ The Cloud console doesn't directly set an allocations limit; it only sets a vCPU limit. +This vCPU limit indirectly determines the number of allocations, calculated as the vCPU limit divided by the number of threads. [discrete] ==== Adaptive resources disabled [cols="4*", options="header"] |========== -| Level | Allocations | Threads | vCPUs -| Low | 2 if available, otherwise 1, statically | 1 | 2 if available -| Medium | 32 if available, otherwise maximum available, statically | 1 | 32 if available -| High | Maximum available set by Cloud console, statically | 1 | Maximum available set by Cloud console, statically +| Level | Allocations | Threads | vCPUs +| Low | 2 if available, otherwise 1, statically | 1 | 2 if available +| Medium | the smaller of 32 or the limit set in the Cloud console, statically | 1 | 32 if available +| High | Maximum available set in the Cloud console ^*^, statically | 1 | Maximum available set in the Cloud console, statically |========== +^*^ The Cloud console doesn't directly set an allocations limit; it only sets a vCPU limit. +This vCPU limit indirectly determines the number of allocations, calculated as the vCPU limit divided by the number of threads. [discrete] === Deployments in Cloud optimized for search @@ -125,20 +129,25 @@ The maximum number of threads that can be claimed depends on the hardware your a [cols="4*", options="header"] |========== -| Level | Allocations | Threads | vCPUs -| Low | 1 | 2 | 2 -| Medium | 1 to 2 (if threads=16) dynamically | maximum that the hardware allows (for example, 16) | 1 to 32 dynamically -| High | 1 to limit set by Cloud console, dynamically| maximum that the hardware allows (for example, 16) | 1 to limit set by Cloud console, dynamically +| Level | Allocations | Threads | vCPUs +| Low | 1 | 2 | 2 +| Medium | 1 to 2 (if threads=16) dynamically | maximum that the hardware allows (for example, 16) | 1 to 32 dynamically +| High | 1 to limit set in the Cloud console ^*^, dynamically| maximum that the hardware allows (for example, 16) | 1 to limit set in the Cloud console, dynamically |========== +^*^ The Cloud console doesn't directly set an allocations limit; it only sets a vCPU limit. +This vCPU limit indirectly determines the number of allocations, calculated as the vCPU limit divided by the number of threads. [discrete] ==== Adaptive resources disabled [cols="4*", options="header"] |========== -| Level | Allocations | Threads | vCPUs -| Low | 1 if available, statically | 2 | 2 if available -| Medium | 2 (if threads=16) statically | maximum that the hardware allows (for example, 16) | 32 if available -| High | Maximum available set by Cloud console, statically | maximum that the hardware allows (for example, 16) | Maximum available set by Cloud console, statically -|========== \ No newline at end of file +| Level | Allocations | Threads | vCPUs +| Low | 1 if available, statically | 2 | 2 if available +| Medium | 2 (if threads=16) statically | maximum that the hardware allows (for example, 16) | 32 if available +| High | Maximum available set in the Cloud console ^*^, statically | maximum that the hardware allows (for example, 16) | Maximum available set in the Cloud console, statically +|========== + +^*^ The Cloud console doesn't directly set an allocations limit; it only sets a vCPU limit. +This vCPU limit indirectly determines the number of allocations, calculated as the vCPU limit divided by the number of threads. \ No newline at end of file From 94e4b401412a1a0a4239c04e6e6838a3935a9615 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 11:43:21 +0200 Subject: [PATCH 22/30] [DOCS] Fix hyphenation. --- docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc index 059b9d3d3..1c7f799e8 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-elser.asciidoc @@ -462,7 +462,7 @@ To gain the biggest value out of ELSER trained models, consider to follow this l * Use two ELSER {infer} endpoints: one optimized for ingest and one optimized for search. * If quick response time is important for your use case, keep {ml} resources available at all times by setting `min_allocations` to `1`. -* Setting `min_allocations` to `0` can save on costs for non critical use cases or testing environments. +* Setting `min_allocations` to `0` can save on costs for non-critical use cases or testing environments. [discrete] From 83e47eb3737b4c050a8d87d0fd335a22d583be18 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 11:46:12 +0200 Subject: [PATCH 23/30] [DOCS] Fixes typo. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index f033207ab..0eb428f40 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -74,7 +74,7 @@ image::images/ml-nlp-deployment-id-elser-v2.png["ELSER deployment with adaptive [[auto-scaling-matrix]] == Model deployment resource matrix -The used resources for trained model deployments depends on three factors: +The used resources for trained model deployments depend on three factors: * your cluster environment (Serverless, Cloud, or on-premises) * the use case you optimize the model deployment for (ingest or search) From 771e5082cc52c9e36402646f1c1de8879e0e26a2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 10 Oct 2024 13:19:03 +0200 Subject: [PATCH 24/30] [DOCS] Fixes another typo. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 0eb428f40..fa2cd7608 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -42,7 +42,7 @@ Adaptive allocations must be set up independently for each deployment and {infer [[optimize-use-case]] === Optimize for typical use cases by using adaptive allocations -You can optimize your model deplyoment for typical use cases, such as search and ingest. +You can optimize your model deployment for typical use cases, such as search and ingest. When you optimize for ingest, the throughput will be higher, which increases the number of {infer} requests that can be performed in parallel. When you optimize for search, the latency will be lower during search processes. From 20c1b570603f85ef76ac1dd2c1632fc0f4f35940 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Fri, 11 Oct 2024 12:38:48 +0200 Subject: [PATCH 25/30] [DOCS] Addresses feedback. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index fa2cd7608..cf769f153 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -80,7 +80,8 @@ The used resources for trained model deployments depend on three factors: * the use case you optimize the model deployment for (ingest or search) * whether adaptive resources are enabled or disabled (dynamic or static resources) -If you use {es} on-premises, adaptive resources behavior is fully dynamic and highly dependent on the hardware configuration. +If you use {es} on-premises, vCPUs level ranges are derived from the `total_ml_processors` and `max_single_ml_node_processors` values. +Use the {ref}/get-ml-info.html[get {ml} info API] to check these values. The following tables show you the number of allocations, threads, and vCPUs available in Cloud when adaptive resources are enabled or disabled. From 7e6063955efbe2a6d1ee878cfbba5acf92926313 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Fri, 11 Oct 2024 14:44:54 +0200 Subject: [PATCH 26/30] Changes section title. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index cf769f153..4f866055c 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -40,7 +40,7 @@ Adaptive allocations must be set up independently for each deployment and {infer [discrete] [[optimize-use-case]] -=== Optimize for typical use cases by using adaptive allocations +=== Optimizing for typical use cases You can optimize your model deployment for typical use cases, such as search and ingest. When you optimize for ingest, the throughput will be higher, which increases the number of {infer} requests that can be performed in parallel. From f4896183e3a183b7c9be14c5c23085f586fc95c9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Fri, 11 Oct 2024 14:46:25 +0200 Subject: [PATCH 27/30] Apply suggestions from code review Co-authored-by: Dima Arnautov --- docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc index b7dc94efa..8f7adf10e 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-deploy-models.asciidoc @@ -184,9 +184,9 @@ You can define the resource usage level of the NLP model during model deployment The resource usage levels behave differently depending on <> being enabled or disabled. When adaptive resources are disabled but {ml} autoscaling is enabled, vCPU usage of Cloud deployments derived from the Cloud console and functions as follows: -* Low: This level limits resources to one vCPU, which may be suitable for development, testing, and demos depending on your parameters. +* Low: This level limits resources to two vCPUs, which may be suitable for development, testing, and demos depending on your parameters. It is not recommended for production use -* Medium: This level limits resources to two vCPUs, which may be suitable for development, testing, and demos depending on your parameters. +* Medium: This level limits resources to 32 vCPUs, which may be suitable for development, testing, and demos depending on your parameters. It is not recommended for production use. * High: This level may use the maximum number of vCPUs available for this deployment from the Cloud console. If the maximum is 2 vCPUs or fewer, this level is equivalent to the medium or low level. From e7bc12921211fc61bf2c35c76eedd03761e8c729 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 14 Oct 2024 13:54:12 +0200 Subject: [PATCH 28/30] Update docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc Co-authored-by: Dima Arnautov --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 4f866055c..da2e3471c 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -46,7 +46,7 @@ You can optimize your model deployment for typical use cases, such as search and When you optimize for ingest, the throughput will be higher, which increases the number of {infer} requests that can be performed in parallel. When you optimize for search, the latency will be lower during search processes. -* If you want to optimize for ingest, set the number of threads to `1` (`"num_threads": 1`). +* If you want to optimize for ingest, set the number of threads to `1` (`"threads_per_allocation": 1`). * If you want to optimize for search, set the number of threads to greater than `1`. Increasing the number of threads will make the search processes more performant. From ffbafd0594e7cfb3c0aa00951ab11275772afd1a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 14 Oct 2024 14:09:18 +0200 Subject: [PATCH 29/30] Adds a Note about Obs and Sec project behavior. --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index da2e3471c..0f6465ddb 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -84,6 +84,8 @@ If you use {es} on-premises, vCPUs level ranges are derived from the `total_ml_p Use the {ref}/get-ml-info.html[get {ml} info API] to check these values. The following tables show you the number of allocations, threads, and vCPUs available in Cloud when adaptive resources are enabled or disabled. +NOTE: For Observability and Security projects on Serverless, adaptive allocations are automatically enabled, and the feature contols are not dosplayed in {kib}. + [discrete] === Deployments in Cloud optimized for ingest From 486ad3948c971d6290498a91ed3f20592aeb61b4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Mon, 14 Oct 2024 14:22:42 +0200 Subject: [PATCH 30/30] Apply suggestions from code review Co-authored-by: Dima Arnautov --- docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc index 0f6465ddb..497456584 100644 --- a/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc +++ b/docs/en/stack/ml/nlp/ml-nlp-autoscaling.asciidoc @@ -84,7 +84,7 @@ If you use {es} on-premises, vCPUs level ranges are derived from the `total_ml_p Use the {ref}/get-ml-info.html[get {ml} info API] to check these values. The following tables show you the number of allocations, threads, and vCPUs available in Cloud when adaptive resources are enabled or disabled. -NOTE: For Observability and Security projects on Serverless, adaptive allocations are automatically enabled, and the feature contols are not dosplayed in {kib}. +NOTE: For Observability and Security projects on Serverless, adaptive allocations are automatically enabled, and the "Adaptive resources" control is not displayed in {kib}. [discrete]