What is the meaning of the term serverless prediction at scale?
Tuesday, 16 July 2024
by upn.500
The term "serverless prediction at scale" within the context of TensorBoard and Google Cloud Machine Learning refers to the deployment of machine learning models in a way that abstracts away the need for the user to manage the underlying infrastructure. This approach leverages cloud services that automatically scale to handle varying levels of demand, thereby
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
Tagged under:
AI Platform Prediction, Artificial Intelligence, AutoML, Google Cloud, Machine Learning, Serverless, TensorBoard
What are the primary options for serving an exported model in production?
Wednesday, 02 August 2023
by EITCA Academy
When it comes to serving an exported model in production in the field of Artificial Intelligence, specifically in the context of Google Cloud Machine Learning and Serverless predictions at scale, there are several primary options available. These options provide different approaches to deploying and serving machine learning models, each with their own advantages and considerations.