pub struct ProductionVariant {
pub accelerator_type: Option<String>,
pub initial_instance_count: i64,
pub initial_variant_weight: Option<f32>,
pub instance_type: String,
pub model_name: String,
pub variant_name: String,
}
Expand description
Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.
Fields§
§accelerator_type: Option<String>
The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
initial_instance_count: i64
Number of instances to launch initially.
initial_variant_weight: Option<f32>
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight
to the sum of all VariantWeight
values across all ProductionVariants. If unspecified, it defaults to 1.0.
instance_type: String
The ML compute instance type.
model_name: String
The name of the model that you want to host. This is the name that you specified when creating the model.
variant_name: String
The name of the production variant.
Trait Implementations§
Source§impl Clone for ProductionVariant
impl Clone for ProductionVariant
Source§fn clone(&self) -> ProductionVariant
fn clone(&self) -> ProductionVariant
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
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