Can one utilize the configuration file for the CMLE model deployment when using a distributed ML model training to define how many machines will be used in training?
When using distributed machine learning (ML) model training on Google Cloud AI Platform, you can indeed utilize the configuration file for the CMLE (Cloud Machine Learning Engine) model deployment to define the number of machines used in training. However, it is not possible to directly define the type of machines that will be used. In
What are the three different machine-type families available in Compute Engine?
In Google Cloud Platform's Compute Engine, there are three different machine-type families available: standard, high-memory, and high-CPU. Each family is designed to cater to specific workload requirements, providing a range of resources and capabilities to meet diverse computing needs. 1. Standard machine types: These machine types offer a balance of CPU and memory resources, making
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What are the two types of machine types available in Compute Engine?
In Compute Engine, which is a part of Google Cloud Platform (GCP), there are two types of machine types available: predefined machine types and custom machine types. These machine types provide different configurations of virtual hardware resources, allowing users to choose the appropriate level of performance and cost for their workloads. 1. Predefined Machine Types: