Amazon Personalize endpoints and quotas - Amazon Personalize

Amazon Personalize endpoints and quotas

The following sections contain information about Amazon Personalize guidelines, quotas, and endpoints. For adjustable quotas, you can request a quota increase using the using the Service Quotas console. For more information see Requesting a quota increase.

Amazon Personalize endpoints and regions

For a list of Amazon Personalize endpoints by region, see AWS regions and endpoints in the Amazon Web Services General Reference.

Compliance

For more information about Amazon Personalize compliance programs, see AWS compliance, AWS compliance programs, and AWS services in scope by compliance program.

Service quotas

Your AWS account has the following quotas for Amazon Personalize.

Resource Quota
Interactions
Minimum number of unique combined historical and event interactions (after filtering by eventType and eventValueThreshold, if provided) required to train a model (create a solution version). 1000
Maximum number of interactions that are considered by a model during training. 500 million
Maximum number of distinct event types combined with total number of optional metadata columns in Interactions datasets. 10
Maximum number of metadata columns, excluding reserved fields, in Interactions datasets. 5
Maximum number of characters for categorical data and impression values. 1000
Maximum amount of bulk interactions data per dataset import job. 100 GB
Minimum number of interactions records per dataset import job for both FULL and INCREMENTAL import modes. 1000
Users
Minimum number of unique users, with at least 2 interactions each, required to train a model (create a solution version). 25
Maximum number of users that are considered by a model during training. 50 million
Maximum number of metadata fields for a Users dataset. 5
Maximum number of characters for USER_ID data values. 256
Maximum number of characters for categorical data values. 1000 characters
Maximum amount of bulk user data per dataset import job. 100 GB
Items
Maximum number of items that are considered by a model during training. 750,000
Maximum number of metadata fields for an Items dataset. 50
Maximum number of characters for ITEM_ID data values. 256
Maximum number of characters for categorical data values. 1000 characters
Maximum number of characters for textual data values for Chinese and Japanese languages. 7,000 characters
Maximum number of characters for textual data values for all other languages. 20,000 characters
Maximum amount of bulk items data per dataset import job. 100 GB
Individual record import APIs
Maximum rate of PutEvents requests per dataset group. 1000/second
Maximum number of events in a PutEvents call. 10
Maximum size of an event. 10 KB
Maximum rate of PutItems requests per dataset group. 10/second
Maximum number of items in a PutItems call. 10
Maximum rate of PutUsers requests per dataset group. 10/second
Maximum number of users in a PutUsers call. 10
Legacy recipes
Maximum amount of combined data for Users and Items datasets for HRNN-metadata and HRNN-Coldstart recipes. 5 GB
Maximum number of cold start items the HRNN-Coldstart recipe supports to train a model (create a solution version). 80000
Minimum number of cold start items the HRNN-Coldstart recipe requires to train a model (create a solution version). 100
Filters
Total number of filters per dataset group. 10
Maximum number of distinct dataset fields for a filter. 5
Total number of distinct dataset fields across all filters in a dataset group. 10
Maximum number of interactions per user per event type considered by a filter. 100
GetRecommendations / GetPersonalizedRanking requests
Maximum transaction rate (GetRecommendations and GetPersonalizedRanking requests). 2500/sec
Maximum number of GetRecommendations requests per second per campaign. 500/sec
Maximum number of GetPersonalizedRanking requests per second per campaign. 500/sec.
Metric attribution quotas
Maximum number of metrics for a metric attribution 10
Maximum number of unique event attribution sources 100
Batch inference jobs
Maximum number of input files in a batch inference job. 1000
Maximum size of batch inference job input. 1 GB
Maximum number of records per input file in a batch inference job. 50 million
Batch segment jobs
Maximum number of queries per input file for Item-Affinity recipe. 500
Maximum number of queries per input file for Item-Attribute-Affinity recipe. 10

Your AWS account has the following quotas for each region.

Resource Quota
Total number of active schemas. 500
Total number of active dataset groups. 5
Total number of pending or in progress dataset import jobs. 5
Total number of pending or in progress batch inference jobs. 5
Total number of pending or in progress batch segment jobs. 5
Total number of pending or in progress solution versions. 20

Each dataset group has the following quotas.

Resource Quota
Total number of active solutions. 10
Total number of active campaigns. 5
Total number of recommenders. 5
Total number of filters. 10
Total number of distinct dataset fields across all filters. 10

Requesting a quota increase

For adjustable quotas, you can request a quota increase using the Service Quotas console. The following Amazon Personalize quotas are adjustable:

  • Total number of active campaigns

  • Total number of recommenders

  • Maximum number of filters per account

  • Maximum number of interactions per user per event type considered by a filter

  • Total number of pending or in progress batch inference jobs

  • Total number of pending or in progress solution versions

  • Maximum rate of PutEvents requests

To request a quota increase, use the Service Quotas console and follow the steps in the Requesting a quota increase section of the Service Quotas User Guide.