InferenceComponentContainerSpecification
Defines a container that provides the runtime environment for a model that you deploy with an inference component.
Types
Properties
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The configuration for container metrics scraping. Specifies the metrics endpoint path and publishing frequency for the inference component's container. If not specified when EnableDetailedObservability is True, the default path /metrics on port 8080 is used. For first-party and Deep Learning Containers (DLC), the endpoint path is determined automatically and this configuration is optional.
The environment variables to set in the Docker container. Each key and value in the Environment string-to-string map can have length of up to 1024. We support up to 16 entries in the map.