1.6 KiB
1.6 KiB
InferenceElserServiceSettings [interface-InferenceElserServiceSettings]
| Name | Type | Description |
|---|---|---|
adaptive_allocations |
InferenceAdaptiveAllocations | Adaptive allocations configuration details. If enabled is true, the number of allocations of the model is set based on the current load the process gets. When the load is high, a new model allocation is automatically created, respecting the value of max_number_of_allocations if it's set. When the load is low, a model allocation is automatically removed, respecting the value of min_number_of_allocations if it's set. If enabled is true, do not set the number of allocations manually. |
num_allocations |
integer | The total number of allocations this model is assigned across machine learning nodes. Increasing this value generally increases the throughput. If adaptive allocations is enabled, do not set this value because it's automatically set. |
num_threads |
integer | The number of threads used by each model allocation during inference. Increasing this value generally increases the speed per inference request. The inference process is a compute-bound process; threads_per_allocations must not exceed the number of available allocated processors per node. The value must be a power of 2. The maximum value is 32. > info > If you want to optimize your ELSER endpoint for ingest, set the number of threads to 1. If you want to optimize your ELSER endpoint for search, set the number of threads to greater than 1. |