Google has massively cut prices for its managed cloud machine learning service just two weeks after AWS released a competing offering at its re:Invent user conference.

The company has introduced massive price reductions for its Cloud Machine Learning Engine managed services. For example, customers using basic-tier compute for training a machine learning system will pay 43 percent less than they did earlier this year. Google also offered customers more clarity on what they’ll be paying for those jobs.

Information of the price reductions was first included in a blog post that appeared briefly yesterday on Google’s website, then vanished. A representative for the company declined to comment further on the news when reached for comment.

The price reductions come just weeks after Amazon Web Services introduced SageMaker, a service that’s supposed to help developers train and run custom machine learning models. Google’s ML Engine service offers similar functionality, including automatic tuning of algorithm parameters, along with a wealth of prebuilt machine learning systems.

Price cuts are to be expected from Google, which puts a great deal of work into cutting the costs of its offerings for customers in an already discount-happy business. These changes also bring some clarity to the messy pricing that has been ML Engine’s hallmark: Google is providing per-hour pricing for all of the different types of training machines available, something that was previously far harder to access.

Machine learning operations are a natural fit for cloud workloads. Deploying intelligent systems often requires a…

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