Deploying Glean within your own Amazon Web Services (AWS) environment can ensure compliance with your organization’s data residency requirements while maintaining Glean’s managed service model.
182333000101
)aws-glean-companyname
)us-east-1
)glean-bootstrap
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Quota Type | Service | Quota name | Location | New Value | Justification |
---|---|---|---|---|---|
All Quotas | SageMaker | ml.p3.16xlarge for training job usage | primary deployment region | 1 | The Glean search system trains a custom AI language model on the corpus, enabling features such as semantic search, synonyms, and more. we use these NVIDIA V100 Multi gpu machines to power the training. |
All Quotas | SageMaker | ml.g4dn.xlarge for training job usage | primary deployment region | 4 | These are the standard machine types used for our general training jobs, which can have multiple running in parallel. We want to increase the quota to alleviate this contention. |
All Quotas | SageMaker | (For Small and Medium sized deployments) ml.m5.2xlarge for training job usage (For Large and Extra Large sized deployments) ml.m5.4xlarge for training job usage | primary deployment region | 1 | Used for cpu based ml training jobs |