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Mystic AI is for developers and machine-learning teams that need to put models into production without building and managing all the serving infrastructure themselves. Its Python SDK lets you package models and inference code into pipelines, then deploy them to Mystic’s serverless GPU infrastructure or to a cluster in your own cloud account. Once deployed, a pipeline can be called through an API or the Python SDK, so applications can send inputs and receive model outputs. Mystic also supports asynchronous runs for jobs that take longer to complete, and automatically scales pipeline resources with demand. It may suit teams building AI features or serving custom models who want managed inference endpoints, as well as teams that prefer to run deployments in their own cloud environment.
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